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Multiple Intelligences in 2026: Responses to Questions Posed by a Scholar from China

Recently, I participated in a Q&A-style interview with a visiting scholar to Harvard’s Graduate School of Education named Junjin Hu. In the thoughtful exchange below, we consider the origins of my theory of multiple intelligences, core issues, and educational applications. This interview was also published in a recent edition of Research MI.

PART I. The Theoretical Origins of the Theory of Multiple Intelligences

Question: Dear Professor Gardner, it is a great honor to have the opportunity to ask you several questions about the theory of multiple intelligences. I would like to begin with your early research. Could you discuss the connection between your early research on the psychology of art and the eventual development of the theory of multiple intelligences? Before proposing the MI theory, you had already explored the idea of art as a cognitive mode of the human mind in works such as The Arts and Human Development (1973), Artful Scribbles (1980), and Art, Mind, and Brain (1982). These studies can be seen as an attempt to construct a “cognitive psychology of art.” I am curious how this early line of inquiry into art and the mind gradually led you toward formulating the theory of multiple intelligences.

Answer: In the middle 1960s, I became interested in the study of cognitive development—as pioneered by Jean Piaget and pursued as well by my mentor Jerome Bruner. As a young person interested in the arts, I was surprised—and disappointed—that for these and other scholars, being “cognitively developed” meant “thinking like a scientist”—using what Piaget called “formal operations.” I believed—and still believe—that artists are as cognitively developed as scientists—but they develop different mental faculties and deploy them in different ways.

Jean Piaget

And so, with the enthusiasm and ambition of a young scholar, I decided to think about and to study—empirically—the development in children of skills, knowledge, technique in the arts. As we phrased it in those days, to deem “artistic competence” as a form of development as important as “scientific competence.” My first scholarly book—published in 1973—was called The Arts and Human Development. And by that time, I was a researcher in artistic development and also the co-director of Harvard Project Zero.

Question: Could you reflect on the influence of Nelson Goodman on your work? Goodman was not only a leading figure in analytic philosophy and symbolic logic, but also a scholar with profound insights into the artistic world. His Languages of Art (1968) is considered a classic in analytical aesthetics, and at the time of its publication he had founded Harvard’s Project Zero. As a researcher in the philosophy of education, I am very interested in how Goodman’s ideas on symbol systems and the arts shaped your thinking and research trajectory.

Nelson Goodman

Answer: As just mentioned, as a young doctoral student, I was searching for a way to understand the development of artistic skills, abilities, creativity. Almost by accident, I learned that a distinguished philosopher named Nelson Goodman was launching a research project on education in the arts and was looking for young research assistants. I went to meet Nelson Goodman, we “hit it off” (liked each other) and in the fall of 1967, I became the first research assistant at Project Zero. I was soon joined by MIT computer science doctoral student David Perkins. When Goodman announced his retirement from Project Zero in the early 1970s, David and I became the co-directors and served in that capacity until 2000.

I was not and am not a philosopher. That was an advantage in working with Goodman. He was a tough personality and held his doctoral students in philosophy to exceedingly high standards. Goodman treated me more as a son than as a doctoral student. He tried to teach me about how he conceived of the arts and encouraged me to study artistic development empirically—for example, figuring out how young persons could perceive style in the arts.

Goodman was a very careful writer. He once said, “When I am reading a paper and I don’t understand a sentence, I stop reading.” That was a very high standard indeed—even today, six decades later, I can still hear those words!

Also, in the late 1960s, Goodman and I learned about how different mental/cognitive faculties were represented in the human brain. We invited the brilliant neurologist Norman Geschwind to speak at Project Zero. Geschwind made a convincing argument that the left hemisphere of the brain handles certain kinds of symbols (roughly speaking, linguistic and numerical symbols), while the right hemisphere of the brain handles spatial and textural materials. This finding fit into our own emerging thinking about artistic cognition. I was fortunate to be able to carry out postdoctoral research in neurology and aphasia under the direction of Geschwind.

It's a good quip in English—my scholarly life was transformed by two men with the initials NG: philosopher Nelson Goodman (1906-1998) and neurologist Norman Geschwind (1926-1984). I miss them both very much.

Question: How do you view the relationship between multiple intelligences and Nelson Goodman’s notion of “multiple symbol systems”? In Ways of Worldmaking (1978), Goodman argues that humans do not understand the world through a single logical language, but through multiple symbol systems such as language, images, sound, movement, numbers, diagrams, and models, each of which helps construct different “worlds.” It seems to me that the theory of multiple intelligences extends this idea into the domain of the mind: the human mind is not a single logical instrument but a set of relatively independent symbol-using capacities. In this sense, each intelligence functions almost like a symbolic system within the mind. Would you consider this interpretation accurate?

Answer: You have understood well the confluence between Goodman’s philosophical distinctions and my psychological speculations. Goodman used to quip that “cognitive psychology is the most interesting branch of philosophy,” and “a psychologist is just a philosopher with a research grant.” Indeed, Goodman learned about cognitive psychology during a year spent at the Center for Cognitive Studies at Harvard. His host there was Jerome Bruner, who also was one of my principal mentors.

Jerome Bruner

Indeed, at the 25th anniversary celebration of Project Zero, both Bruner and Goodman made an appearance and that was very meaningful to me. Somewhere there is a photograph of the two of them together.

Question: How did Piaget, structuralism, and the broader tradition of symbolic philosophy influence your development of the theory of multiple intelligences? The symbol-systems approach and the twentieth-century tradition of symbolic philosophy, represented by figures such as Ernst Cassirer, Susanne Langer, and Alfred North Whitehead, emphasize that symbolic activity lies at the heart of human cognition and creative development. Piaget’s genetic epistemology, however, focuses primarily on logical and rational structures and portrays the child as a “little scientist,” which makes it difficult to account for symbolic creativity in areas such as the arts. In The Quest for Mind (1973), you examined both Piaget’s and Lévi-Strauss’s ideas. I am curious how these intellectual traditions, including Piaget’s genetic epistemology, Lévi-Strauss’s structuralism, and the broader currents of symbolic philosophy, collectively shaped your formulation of multiple intelligences. I also noticed that in Frames of Mind (1983) you place particular emphasis on biological and anthropological perspectives.

Answer: When I try to describe my own skills as a scholar, I consider myself a synthesizer. I called my scholarly memoir A Synthesizing Mind and have written dozens of blogs about synthesizing, which you can read here.

As a student, I read all of the scholars whom you mentioned—and in fact, Susanne Langer had been the teacher of my first wife Judith Krieger Gardner, and I have a letter from Langer hanging in my office. I was fortunate to have personal relationships with Jerome Bruner and Claude Lévi-Strauss and also to have met and interviewed Jean Piaget a few times—letters from these men also adorn my office.

I began college as a “history major,” but was attracted by a relatively new field of study called “Social Relations” (shortened to “Soc Rel”)—an effort to synthesize theories and findings in the relatively new fields of psychology, sociology, and anthropology. So, I was quite prepared to encounter and appreciate the works of Lévi-Strauss. At the time (the middle 1960s), the French school of structuralism/structural analysis was not well known in the United States. I saw intriguing parallels between the works of Piaget and Lévi-Strauss. I thought that it would be worth spelling them out in a book The Quest for Mind: Piaget, Claude Lévi-Strauss and the Structuralist Movement—my other major publication in 1973. Also adorning my office are letters from these two savants—both dated April 10, 1970! (Piaget’s in French, Lévi-Strauss in almost perfect English.)

Question: How did your training in neuroscience influence the theory of multiple intelligences? In The Shattered Mind (1975), you analyzed cases of brain damage to examine how different symbolic capacities can be impaired or preserved. These findings seem to reveal the natural classification and structural organization of symbol systems in the brain. I am curious how this line of neuropsychological research contributed to your eventual formulation of the theory of multiple intelligences.

Answer: My work in neuroscience—particularly on the effects of damage to the brain as studied by Norman Geschwind and many other researchers at his aphasia research center—was crucial to the development of MI theory. 

The single most important facet of damage to the human cortex is the location of the lesion—left or right hemisphere, anterior or posterior, shallow or deep. And as it happens, brain lesions can affect different facets of cognition—processing of particular symbol systems and how those symbols are used. 

To the extent that I have made any contribution to basic science, it is in delineating the effects of brain damage on various kinds of artistic and symbol-using capacities. And probably the most important work was the identification of the role of the right hemisphere in understanding metaphoric (as opposed to literal) aspects of language use.  I carried out this work with Ellen Winner, to whom I have been happily married since 1982.

Question: What do you consider to be the most fundamental biological basis of the theory of multiple intelligences? In China, a common critique is that MI lacks solid empirical support. Yet your research on brain damage, along with your discussion of the “biological foundations of intelligence” in Frames of Mind (1983), suggests that you place considerable emphasis on neuroscientific evidence. This gives me the impression that MI is not merely a developmental psychology theory but one with a strong psychobiological orientation.

Answer: Thank you for that question. It is often said that MI lacks empirical support. That is nonsense! Frames of Mind, published in 1983, cites and builds upon hundreds of empirical studies. And in the preface to the new edition—published in April 2026—I cite intriguing new lines of work.

Cover of the latest edition of Frames of Mind (2026)

MI is not an experimental theory. One cannot do an experiment—or even a sheaf of experiments—to prove MI theory right or wrong. Instead, the theory of multiple intelligences involves the synthesizing of vast amounts of data from many studies in many scholarly disciplines. I am sure that MI theory could be refined in light of the forty years of psychological, neurological, and anthropological work done since the original publication—but I have no reason to apologize for—let alone to withdraw—the general approach and the major conclusions.

Indeed, with my treasured colleagues, Shinri Furuzawa and Annie Stachura, I have now been investigating animal intelligences, plant intelligences, and artificial intelligences. (You can read the article we co-authored here.) While IQ tests and success in certain kinds of scholarly work still have their uses, they seem to be “period pieces” in the age of AI. They miss the vast expanse of intelligences in the world of today…and tomorrow.

Question: I am also curious about the influence of neurobiology on your development of the theory of multiple intelligences. In your writings, you frequently refer to Conrad Hal Waddington’s concepts of canalization and plasticity. Canalization highlights the biological stability of developmental trajectories, whereas plasticity emphasizes their sensitivity and openness to environmental shaping. These concepts seem highly relevant to the theory of multiple intelligences. How does MI address the tension between the biological foundations of each intelligence and their cultural malleability?

Answer: This is an important issue and one that I alluded to in the previous question. Work by Miriam Hauptman and her colleagues indicates that certain human faculties are established and essential quite early in life while others are more susceptible to change—due to neural plasticity. As a simple example, it is not difficult to learn new languages when you are an adult, but very difficult to master accents, or tonality in various languages. While I have not myself carried out work on canalization vs. plasticity, I suspect that we will find those tensions at work across the spectrum of intelligences. (I suspect that a sense of perfect pitch is much easier to acquire in childhood than in adolescence or later.) 

Miriam Hauptman

Of course, with the rise of artificial intelligence and many computational systems, one can compensate for the loss of some faculties—I may not be able to have a good French accent, but my avatar does just fine.

Question: I am also curious about the relationship between Jerry Fodor’s theory of modularity and the theory of multiple intelligences. Fodor presented his modular view of the mind in The Modularity of Mind (1983), and your Frames of Mind published in the same year. Your formulation of multiple intelligences seems to suggest a kind of functional modularity. To what extent do you think MI can be understood as compatible with Fodor’s modularity at a higher functional level?

Answer: Fodor and I are roughly contemporaries—and, as you point out, our books were published in the same year. We were both greatly influenced by the linguistic work of Noam Chomsky. Superficially, our works can be grouped together: my “intelligences” arguably each contain one or more Fodorian “modules.” But Fodor was not much interested in psychology and actually declared that study of the brain was worthless for cognitive scientists. Nor—as far as I know—was Fodor interested in educational or developmental issues. In that sense, he was very different from Nelson Goodman, or indeed, from Noam Chomsky himself.

In the future, an historian of science should take a look at the different streams of knowledge catalyzed by Chomsky’s scholarly work. And now, in the age of AI, we have learned that a lot of Chomsky’s speculations about processes of human cognition apply not only to human beings but also to Large Language Models. This does not, in my view, minimize the importance of Chomsky’s work. The questions that scholars raise are vital, even as the answers will change over time—as we have observed with figures as pivotal as Newton, Darwin, or Einstein.

II. Core Issues in the Theory of Multiple Intelligences

Question: Among the many related concepts, why did you choose “intelligence” as the central focus of your work? Terms such as faculty, ability, skill, talent, and creativity also describe differences in human cognition, yet the word “intelligence” seems to exert a particular appeal for the public. If Frames of Mind (1983) had been titled with one of these other terms instead of “intelligence,” its impact might have been very different. Could you discuss your reasons and considerations for adopting this specific concept?

Answer: Your assumption about the importance of selecting the word “intelligence” is absolutely correct. In the “West” (roughly the Europe and the Americas), that lexical decision made all the difference. If I had developed a “theory of multiple talents,” even otherwise critical people would have said, Sure, there are multiple talents! And then let the topic drop. 

But since I used the word “intelligence” and never disavowed it, I joined a battle, a contest with psychometricians who believe that they alone can define intelligence, and measure it, that it is singular, and that speaking of multiple intelligences, is not only invalid, it’s an abuse of language.

Of course, any informed psychometrician will concede that linguistic, logical, and spatial faculties are separate. Strength in one does not predict strength or weakness in the other two faculties. And with the advent of the work of Daniel Goleman on emotional intelligence, both interpersonal and intrapersonal intelligences now have a place in psychometry. And so, the argument—which I have no interest in pursuing at this time—now revolves around the status of musical, bodily-kinesthetic, and naturalist intelligences.

Question: In Chinese, the term “intelligence” has been translated in several different ways, including “zhili,” “zhineng,” and “zhihui,” each carrying distinct meanings. “Zhili” refers to a general cognitive capacity for understanding, reasoning, and problem solving. “Zhineng” emphasizes information processing and operational abilities and can apply to both humans and machines. “Zhihui” points to an integrated mental state that combines rationality, emotion, and ethical judgment. Since different translations imply different understandings of your theory, which of these do you feel best captures your original conception of “intelligence”? 

Answer: Since I don’t speak or understand Chinese, my answer is necessarily tenuous.  Clearly I am not referring to zhihui—I see emotions and ethics as separate domains. 

I feel somewhat closer to zhineng—because I am using MI theory to try to understand computational systems (see the aforementioned work with Furuzawa and Stachura). 

As for zhili, it all depends. If you believe that there is a general cognitive capacity, we are in disagreement. But if you believe that the question of one or more cognitive capacities is an empirical one, then we are “on the same page.”

Question: In classifying different intelligences, you adopt a cross-disciplinary synthesizing approach that draws on evidence from multiple fields to support the existence of each intelligence. However, some experimental psychologists argue that this method is subjective, lacking testable hypotheses and rigorous experimental design, and therefore belongs to a “soft science” that does not rely on strict quantitative data. Some even view the theory of multiple intelligences as a kind of personally constructed theoretical myth. How would you respond to these methodological critiques?

Answer: You raise two critiques here. The first one is that my method does not conform to the traditional view of science. Not all science is experimental in the common sense of that word—in general, claims in geology, astronomy, evolutionary biology are not testable in the way that claims in organic chemistry or psychophysiology are. 

I call the kind of science or scholarship that I practice synthesizing. It involves putting together vast amounts of empirical data in ways that make sense and open up new questions and new kinds of inquiry.

I’ve written a great deal about synthesizing—dozens of blogs and a memoir called A Synthesizing Mind. Interested readers can consult these sources.

The second criticism is foolish, if not disingenuous. My book Frames of Mind is based on hundreds of studies in the areas of psychology, neuroscience, anthropology and other areas of scholarship. I don’t believe that anyone who speaks about “theoretical myths” has ever read (or even opened up!) my 400-page book Frames of Mind (which is being published with a new preface in April 2026). I hope that the new edition will be translated into Chinese.

Question: In Frames of Mind, you proposed eight “signs” for identifying an intelligence, including potential isolation by brain damage, uneven developmental profiles across individuals, the presence of an identifiable core operation or set of operations, a distinctive developmental trajectory from novice to expert, an evolutionary history and evolutionary plausibility, and sensitivity to symbol systems, among others. These signs provided the foundational criteria for classifying intelligences. Several decades have now passed. Have you revised, refined, or reconsidered any of these criteria in light of subsequent research and developments in the field?

Answer: I have not revisited the eight signs of an intelligence. These were worked out over the course of five years of study that led to the writing and publication of Frames of Mind. I have considered the evidence for various candidate intelligences and have concluded that there is sufficient evidence to anoint an 8th intelligence called the naturalist intelligence. This is the capacity to make consequential distinctions between one plant and another, one animal and another, one cloud formation and another—distinctions crucial for survival on our planet. I claim that this capacity—seemingly less crucial in an urban environment—continues to be drawn upon in our time to distinguish one commercial product from another, be it automobiles or sweaters or perfumes.

I have been asked to consider other candidate intelligences—including the possible spiritual or existential intelligence. Such candidates are plausible, but I am no longer engaged in the exercise of evaluating other intelligences. (It took a year of study to decide on the validity of a “naturalist intelligence.”) My criteria exist and others are welcome to draw on them—so long as they don’t attribute their conclusions to me!

Question: The theory of multiple intelligences emphasizes the relative independence of each intelligence, a “modular” stance that brings conceptual and biological clarity to the framework. However, many assessments reveal positive correlations among different abilities, and some scholars, such as Piaget, argue for the existence of a general, overarching intelligence. This issue parallels a broader tension in neuroscience between localizationist and holistic perspectives: even if intelligences rely on partially distinct neural regions, might there still be a central integrative mechanism at work? How do you reconcile the observed correlations among intelligences with your claim about their relative independence?

Answer: You raise important issues here. Let me take them one by one:

Certainly, in particular individuals there will be correlations among particular intelligences. If I were to be convinced that, say, musical and spatial abilities were highly correlated, I might combine those two intelligences. On the other hand, if I became convinced that logical capacities were different from mathematical capacities, I would separate them into separate intelligences—and then we would have 8 or 9 intelligences.

I have no objection to the positing of a central integrative mechanism—many scholars would allocate this task to the frontal lobes or pre-frontal lobes, and some might also nominate areas in the parietal lobes for certain kinds of integration.

What I have done is to describe the building blocks—and then to point out that in certain populations, an intelligence may exist in isolation—or, on the contrary, that in certain populations or under certain circumstances, two intelligences might be combined.

If I became convinced that there were a “central intelligence entity” that routinely combines the several intelligences, I would be prepared to revise my theory. But today, over forty years after its positing, I do not find convincing evidence that intelligences are routinely combined in specific combinations. Indeed, the more we learn about cognition, the more we learn about abilities that are impaired, or spared, in isolation. The whole field of neurodiversity—hardly visible a half-century ago—is now a vital part of medicine, education, and rehabilitation.

Question: In China, alongside the theory of multiple intelligences, Robert Sternberg’s triarchic theory of intelligence and his later theory of successful intelligence are also highly influential. The triarchic theory seeks to move beyond the traditional IQ emphasis on analytical abilities by distinguishing analytical, creative, and practical intelligence. However, Sternberg’s definition of intelligence still centers on problem solving. In contrast, your definition of intelligence encompasses not only solving problems but also creating culturally valued products within specific cultural contexts. Because of this cultural dimension, the MI framework remains open-ended, allowing for the potential inclusion of additional intelligences when justified by evidence. How do you view the fundamental differences between the theory of multiple intelligences and the triarchic theory?

Robert Sternberg

Answer: You have given a very good and convincing answer to the question that you raised. My goal is to describe 8 or so separate computational mechanisms—which can operate in isolation or be damaged in isolation. They are building blocks, so to speak.

As I understand it, Robert Sternberg is interested in the ways in which our computational mechanisms are deployed. For instance, linguistic intelligence can be used for analysis (in analyzing a poem), creativity (in writing a poem) and for practical purposes (selecting a greeting card).

Accordingly, I see the two theories as complementary. In fact, thirty years ago, Sternberg and colleagues worked with my research team at Harvard Project Zero, to develop a school program called “Practical Intelligence.” You can read about our efforts in my book Multiple Intelligences: New Horizons. In the course of that collaboration, I did not sense a major difference in how we think about human intellect—the differences were more in our research methods and pedagogical goals and how we pursued them. 

As an example, Sternberg was far more interested in developing curricula and tests—while I was more interested in creating experiences that would engage students in the activities of school.

Question: I would also like to raise a question about the cultural and ethical dimensions of intelligence. Within the framework of multiple intelligences, could cultural preferences for certain intelligences lead to ethical imbalances? In other words, does a society have a moral obligation to ensure that every form of intelligence has the opportunity to be developed? If cultural power structures consistently reward some intelligences, such as linguistic or logical-mathematical intelligence, while devaluing others, such as spatial, musical, bodily, or naturalistic intelligence, would this amount to a form of epistemic injustice?

Answer: I agree that cultures send strong signals about which intelligences they prioritize, and which accordingly get short shrift. As just one example, learning to sing and to play instruments has been much more important in Finland and Hungary than in other countries. Obviously, naturalist intelligence is more of a premium in a community far away from cities and set in a rural agricultural area. To a Westerner, Japan seems to be especially focused on interpersonal intelligence, and not as much on intrapersonal intelligence.

I would not go so far as to say that every society is obliged to nurture every intelligence. But now that these intelligences have been described, I certainly think that no society should block their development. Preferably, societies should be encouraged to nurture and develop the range of intelligences in all of their young people. I have long admired children’s museums in the United States and cultural palaces in China for providing such opportunities to young persons.

Also, now that we have overwhelming evidence for neurodiversity, it’s especially important to make sure that every child has exposure to a range of subjects and pursuits, and that educational entities should offer different approaches to subjects and topics deemed important.

Question: If you were to rewrite Frames of Mind today, which chapters or core claims would you revise? With the rapid development of artificial intelligence, does the concept of “intelligence” itself require updating? Do you foresee the possibility of adding new types of intelligence in the future?

Answer: I have two answers to this question:

  1. I would not try to rewrite the book though I would certainly update with new findings from neuroscience, psychology, and other disciplines.

    Instead, in the preface to the new edition (to be published in April 2026), I have indicated the ways in which my thinking has changed.

  2. On the other hand, I think that the exclusive focus on human intelligences—while important and fascinating—is much too narrow, too egocentric.  Accordingly, as mentioned, with my colleagues Shinri Furuzawa and Annie Stachura, I have written a lengthy essay on “Who Owns Intelligence?” In that essay, we review claims about animal intelligences, plant intelligences, and artificial intelligences, including Artificial General Intelligence (AGI).

That’s where I would focus my energies—especially if I were granted a decade or two of life, and of a reasonably functioning mind and body. I am aware that I am well into my ninth decade on the planet.

III. Educational Applications of the Theory of Multiple Intelligences

Question: In educational research, “intelligence” often serves as an analytical handle that brings diverse issues such as learning differences, curriculum design, equity and selection, assessment, and even educational aims into a unified framework. When you first conceived the theory of multiple intelligences, had you already anticipated or considered its potential applications in education?

Answer: Good question. When I began to work on the research that led to Frames of Mind and the theory of multiple intelligences, I was in a very different place. I saw myself as a broadly-based psychologist—spanning cognitive, developmental, and neuroscience—with an interest in a range of social sciences. I did not see myself as an educator—and in fact the chapters on education at the conclusion of the book were the least developed—almost an afterthought.

I was surprised at the widespread interest in Frames of Mind and especially surprised that it evoked such interest among educators—far more than among psychologists or other scholars. I am not insensitive to how others react to something that I’ve done, and so I began to focus more on educational issues, both in the United States and abroad.  In fact, during the 1980s, when the work was first known, I made several trips to China, including a three-month stint in 1987, and much of the time was spent with educators and visiting schools. I wrote a book about my experiences called To Open Minds: Chinese Clues to the Dilemma of Contemporary Education.

While I became interested in educational issues I was hesitant to make specific educational recommendations, let alone start a school or devise a curriculum. Instead, when educators announced such ambitious interests and goals, I said I would be happy to learn from them and to help them, but that they were the educators. Indeed, I was the scholar, the social scientist who had developed ideas but that they were the ones—the informed practitioners—who could and should create and implement them. And that’s what I have tried to do for forty years.

Question: What do you consider to be the most successful applications of the theory of multiple intelligences in American classrooms, curricula, and assessment practices?

Answer: Whether in the United States or elsewhere, the best applications of MI theory draw on two concepts:

Individualization—Knowing as much as possible about each learner and presenting materials in ways that address the strengths and proclivities of each child. Of course, this is far easier when classes are small and when appropriate technological instruments are available.

Pluralization—Teachers should decide which ideas, concepts, practices are most important and then prepare to spend considerable time on them—and here is where “MI” comes in—to approach these important educational priorities in several ways. If one does this, if one approaches energy in science or revolution in history in numerous ways, one reaches more students and one gives every student more than one way to think about a topic.

Pluralization could always be done but it’s much easier to do at a time when we have powerful technology which can teach science, math, history, drawing, indeed the whole gamut of subjects and disciplines in many different ways.

In the latter years of the 20th century, I worked particularly with two schools—The Key School (later the Key Learning Community) in Indianapolis, Indiana and the New City School in St. Louis, Missouri. There is lots of written materials about both of these educational forays, see here and here, and I write about them in Multiple Intelligences: New Horizons, as well as the book I co-edited with Jie-Qi Chen and Seana Moran, Multiple Intelligences Around the World.

Question: How do you view the localized adoption of the theory of multiple intelligences in China and other East Asian regions? You visited China several times in the 1980s and discussed differences between Chinese and American approaches to arts education in To Open Minds (1989). MI theory has exerted considerable influence on China’s curriculum reforms, particularly in promoting arts education and aesthetic education, areas that have traditionally been relatively underdeveloped in the Chinese curriculum system. How do you assess these localized interpretations and applications?

Answer: I am very pleased to learn that my research ideas and my educational proposals have had influence in China and other parts of East Asia—including, in recent years, a great deal of interest in India. I make no pretense of evaluating how skillfully the work has been done. As a long-time art lover and a student of the arts, I am especially pleased to learn that aesthetic education has been bolstered—that was the principal reason for my several visits to China in the 1980s.

Around 2000, I was visiting some sites in China. I met with a journalist and asked her why there was so much interest in “MI” in China. She gave me a very memorable answer:

“In the United States, parents can look at each child and decide what to focus on in that child’s education—which intelligences to favor, to bolster. In contrast, in China, it’s just eight areas that we have to make sure that our child excels in.”

Even if this response was hyperbole, or perhaps a joke, it still indicates the greater emphasis in the West on individual differences and on individual flourishing. It may not be consistent with a Confucian or Buddhist or Communist approach to human development and flourishing.

Question: In the educational application of multiple intelligences, which aspects do you think are most prone to misunderstanding? For example, in China it is common to map school subjects directly onto specific intelligences, such as assigning mathematics and physics to logical-mathematical intelligence, language courses to linguistic intelligence, or music courses to musical intelligence. How do you view this type of simplified correspondence?

Answer: As you imply, this approach seems to be at odds with my whole educational philosophy. Of course, one can assign a particular intelligence to a particular subject matter—but if that’s all you do, nothing has been gained.

As I indicate in my answers to other questions, an “MI approach” to education entails mobilizing a student’s stronger intelligences so that they can master important concepts and processes. If one child learns history better via linguistic methods, a second child via art or music, a third child via logic, a fourth child via a focus on particular persons, heroes, villains, these should be the entry points to a better and more rounded education.

Otherwise, as you describe it, we are simply putting new labels on the traditional subjects rather than taking advantage of the fact that children have different strengths, different proclivities and tastes. Education (human and technological) should take advantage of these different profiles.

Question: The assessment of multiple intelligences has long been one of the most widely discussed issues in educational practice. Traditional examinations rely on objective and decontextualized measurements, whereas MI theory emphasizes that intelligences are potentials activated within specific cultural and situational contexts. Nevertheless, many educators still hope for a unified standard to avoid overreliance on subjective judgment, and some even attempt to use paper-and-pencil tests to assess multiple intelligences. How do you view the use of traditional assessment tools in evaluating MI? In your view, what pathways should be taken to assess multiple intelligences more appropriately?

Danfoss Universe theme park in Denmark

Answer: Ideally, the best way to assess intelligences is through a vehicle like a children’s museum—or in Denmark, a theme park called “The Explorama.” These are rich environments with lots of elements, aliments, and materials, which persons of any age can explore in their own way, as deeply as possible, pose questions, try out experiments, revisit, etc. Forty years ago, we undertook such an “MI education” with Project Spectrum—where colleagues and I created a rich preschool environment, encompassing the full range of intelligences, followed children over the course of a year, and even followed up with those children a year later. There are three books on this program and readers are well advised to consult them. (See more about these volumes here.)

As for paper and pencil tests, they are OK for the “standard intelligences”—language, logical-mathematical, and perhaps spatial—but are not appropriate for the other intelligences. I would not take seriously a test that purports to measure interpersonal or intrapersonal intelligence. Games and other rich environments provide some useful information, but evaluations are best done by individuals who know children well—parents, relatives, current and former teachers, coaches—and, if properly coached, children themselves—especially as they get older…and especially if they have good intrapersonal intelligence!

So long as you use multiple choice or other short answer instruments, you are really testing “test-taking intelligences” and not personal or bodily-kinesthetic or musical intelligences and you are assessing spatial intelligences in a suboptimal way.

Question: I have long been concerned with the question of whether the theory of multiple intelligences can be compatible with an exam-driven education system. In China, basic education is organized around competitive examinations, with a strong emphasis on logical-mathematical intelligence as the primary criterion for selecting the “best” students who will advance into higher levels of schooling. Yet according to MI theory, there is no single “most intelligent” person; individuals differ only in the areas in which their intelligences are strongest. MI aims to identify human potentials, to recognize children’s profiles of strengths at an early stage, and to reveal the diverse structures of intelligence that each child possesses. From this perspective, I sense a powerful value orientation toward educational equality embedded within the MI framework.

Answer: I appreciate this sympathetic question—which anticipates well how I think about these issues. So long as higher educational opportunities are restricted to those who do well on IQ-style measures—as has long been the case in China and other East Asian countries—you may as well just administer IQ tests and look at performances in a certain kind of traditional school.

I prefer to think about this question from a different perspective. What kind of a society do we want to have—aspire to—and how can we best achieve that kind of society, given our population and our educational options? We already have answers to this question based on the last IQ-centered century…and it’s not one that I’d like to repeat or extend!

I do think that an MI educational system and an MI-conscious society would likely be a healthier society—certainly more people would feel appreciated and would try to make contributions—including to the common good.  

To be sure, life is not fair. And some individuals have a multitude of talents and intelligences while others have far fewer. (A Leonardo da Vinci appears only rarely!) But that’s no reason not to have an equitable society—one that recognizes individual talents, aspirations, needs, deficits—and tries to accommodate them as much as possible. (This is a principal idea behind philosopher John Rawls’ important work on A Theory of Justice.) That’s the kind of society that I would like future generations—including my own family—to live in. And, just possibly, that’s the one that MI can help to bring about.

Question: While the theory of multiple intelligences emphasizes individual differences and diverse potentials, schools still need to teach certain forms of “common cultural literacy,” such as the core cultural knowledge proposed by Eric Donald Hirsch. However, common cultural knowledge often reflects the power structure of the dominant culture, whereas individualized education seeks to honor each child’s unique intelligence profile. How do you think education should balance the transmission of shared cultural reference points with the respect for intellectual diversity and individual potential? Does MI theory require a rethinking of Hirsch’s notion of cultural literacy in order to avoid cultural assimilation and the reinforcement of dominant cultural norms?

Answer: You raise two questions. It’s fine to have common cultural knowledge, but that should not be the focus on school. School should focus on developing the skills and approaches that you need to succeed in life and to be a positive part of your community—including the world community.

What Hirsch recommended is now available via a touch of any available keyboard—no need to memorize geographical locations or the names of presidents or the sites and outcomes of war. So no need to include common cultural knowledge in curriculum—just let students know it’s available and how to locate it—and importantly, what questions to ask of it…since Hirsch’s list did not pay attention to societal diversity and to changing political and cultural agendas—it was like a short version of an encyclopedia published half a century ago.

As I am reflecting on these issues, public television in the United States is broadcasting a six-part series on the War for the American Revolution (1775-1781) and the founding of the United States of America. It’s an excellent series—trying to account for the good, the bad, and the ambiguous aspects of that epoch-making event. I am reminded of the remark allegedly attributed to Premier Zhou Enlai. Asked whether the French Revolution (1789-1795) had been a success, he paused for a while and then apparently responded: “It’s too soon to tell.” 

Writing for a Chinese audience at the end of the first quarter of the 21st century, I would add: “It’s up to the human beings on the planet to determine whether we are to have good work and good citizenship.”

Question: In The Closing of the American Mind (1987), Allan Bloom argues for a return to the Western canon as a way to restore moral and spiritual order, whereas the theory of multiple intelligences emphasizes cultivating the diverse profiles of abilities that each student possesses. How do you view Bloom’s insistence on a single, “proper” path of spiritual and moral education? In your perspective, where does the deepest conflict lie between this canon-centered, elitist model of education and the MI framework that values individuality and diverse potentials? Is it possible for education to respect intellectual diversity while still maintaining a commitment to moral education and enduring spiritual traditions?

Allan Bloom

Answer: I do believe that if our planet is to survive, we need to have an education—formal or informal—that develops the moral and ethical potentials of human beings.  For thirty years, as part of the Good Work Project (now called The Good Project) my colleagues and I have been devising and administering models and curricula that help young persons to become good workers and good citizens. Those individuals need to be excellent in their work, engaged in their work, and willing and able to deal responsibly with ethical and moral dilemmas.

Those are “the Three Es of Good Work and Good Citizenship”: Excellence, Engagement, and Ethics. You can learn more about this endeavor on our website thegoodproject.org and in the ten books that we have written, including Good Work (2001) authored by Gardner, Csikszentmihalyi and Damon.

In all candor, I have to say that Bloom’s ideas—developed in the middle of the 20th century—are no longer part of discourse in any circle of which I am aware. There are perhaps strands of what he thought and wrote that might still be of interest—but, remaining in candor, I think that readers’ time would be much better spent learning about The Good Project and the curricula that we have developed for various contexts.

Question: In an era marked by rapid advances in artificial intelligence and a growing emphasis on personalized learning, do you think the theory of multiple intelligences can offer new frameworks or perspectives for the future of education?

Answer: I don’t think that MI theory or any theory can provide the answer to how best to educate in the future. But I believe that the pluralism that MI theory recognizes and promotes is precisely what we need if we are to have a peaceful and healthy planet, that makes a place for educating all human beings to the best of their potential. In that sense, it is entirely appropriate that the grant that supported the research for Frames of Mind was a strand of a larger project at Harvard, called “The Project on Human Potential.” If the ideas that we developed on that project contribute to better education for all persons, that would be my dream.

Interviewer: Thank you very much for your generous and illuminating reflections. Your answers make it clear that the value of the theory of multiple intelligences has never been about offering a fixed educational formula, but rather about reminding us to acknowledge the diverse potentials of human beings and to embrace a more open and inclusive way of understanding learning, ability, and development. In an era of rapidly evolving artificial intelligence, this exploration of “human possibilities” feels more urgent than ever. I hope to bring your insights back to educational research and practice in China, so that more students may be understood, supported, and empowered because of their unique potentials. Thank you again for your time, and for the intellectual light you continue to offer to all who care about human development.

AI & MI: Artificial Intelligence and Multiple Intelligences

By Tom Hoerr

“What are multiple intelligences?” I asked ChatGPT, the new artificial intelligence (AI) technology.

Within a few seconds it said:

“Multiple intelligences are a theory of intelligence developed by Harvard psychologist Howard Gardner in 1983. It suggests that there are eight different types of intelligence: linguistic, logical-mathematical, spatial, bodily-kinesthetic, musical, interpersonal, intrapersonal, and naturalistic. Each type of intelligence is associated with a different way of processing information and solving problems.”

Wow, yes, within a few seconds.

And why is this relevant to MI?

MI is all about problem-solving. Howard Gardner defined intelligence as the ability to solve a problem or create a product that is valued in a culture, and each of the multiple eight intelligences encompasses a different set of skills and talents.

 ChatGPT, a technology that can follow instructions in a conversational prompt and provide a detailed response (as it did to my question), is also about solving problems. The concept of MI was revolutionary when Frames Of Mind was published in 1983. Today, the potential of AI captures our mind and activates our imagination. Typing ChatGPT in Google yields 855,000,000 links in .065 seconds.

How do MI and AI interact? Or do they?

First, let’s be clear, we already routinely deal with some AI-MI which we likely take for granted. Some salient MI-AI examples:

  • Linguistic: AI automated answering services. “Is that a real person?”

  • Logical-mathematical: AI chess or other game software. “I was check-mated again!”

  • Musical: AI playlists which emanate from our previous choices. “I don’t need to seek the songs I enjoy.”

  • Spatial: AI GPS directions. “Remember the AAA Triptik?!??

  • Bodily-kinesthetic: AI autopilot is coming. Check out “Robotic Limbs Moved By the Mind” in this 60 Minutes feature (click here for link).

Of course, just as performing a complex task requires using many intelligences, sophisticated AI acts require an amalgam of MI. For example, when buying something online (something I do far more than I should), the website features linguistic and spatial information about the products. Then, after I have purchased, I get a message that says, "Since you purchased X, you might be interested in Y and Z." The employees used their interpersonal and intrapersonal intelligences to conceptualize what a buyer of X might now want. Then they used their logical-mathematical intelligences to program the site.

But this is old news. As noted above, I did a small trial and asked ChatGPT “What are multiple intelligences?” The accurate response was based on readily accessible information and was generated within a few seconds. Then I posed a bit more complex question, “How can multiple intelligences be used?” Again, the lightning-fast response was accurate, although a bit superficial:

“1. Use visual aids such as diagrams, charts, and pictures to help students understand concepts. 2. Incorporate music and rhythm into lessons to help students remember information. 3. Use role-playing and simulations to help students understand abstract concepts. 4. Incorporate movement into lessons to help students stay engaged and learn.” And so on for each MI.

 I decided to be a bit contrarian and asked, “What about the opposition to MI?” ChatGPT said:

“The opposition to multiple intelligences theory is largely due to the fact that it challenges the traditional view of intelligence as a single, unitary construct. Critics argue that the theory is too vague and lacks empirical evidence to support its claims. Additionally, some argue that the theory is too broad and that it fails to account for individual differences in intelligence. Finally, some argue that the theory is too focused on the individual and fails to consider the social and cultural contexts in which intelligence is developed."

That response shows a bit more sophistication – particularly the last sentence – but simply regurgitates criticisms that have already been stated. The speed of the response, again within a few seconds, is very impressive.

To elicit a response that isn’t already lodged in libraries, I asked, “Can happiness be smelled?” The ChatGPT response:

“No, happiness is not something that can be smelled.” That’s true but I would expect a human with a bit of sophistication to continue, perhaps with, “No, happiness is not something that can be smelled but we surely associate some scents with happy feelings – freshly baked bread comes to mind as do popcorn and cookies.”

Of course, there’s an entire perfume industry.

The ChatGPT technology possesses some intrapersonal intelligence. When asked about its limitations, it responded:

“ChatGPT is not capable of solving problems that require complex reasoning or understanding of abstract concepts. It is also not capable of providing advice or making decisions for users. Additionally, ChatGPT cannot provide accurate answers to questions that require a deep understanding of a particular subject or domain.”

 Relatedly, very relatedly, I asked if ChatGPT could ascertain emotion. It replied that it cannot and said,

“ChatGPT is a natural language processing (NLP) system that is designed to generate responses to user input. It does not have the capability to detect or interpret emotion.”

Technology continues to advance at an astonishing rate (remember floppy computer disks?), so presumably the superficial response capacity of AI will increase so that answers will become more intricate. Imagine 100 Jeopardy champions crammed in a brain, spouting out facts. That’s impressive!

A Jeopardy game, however, is not the real world. The mastery of information and facts that it values ignores the nuances of life and complexity of human relationships. Nowhere are the categories of interpersonal or intrapersonal intelligences found on a Jeopardy board and ChatGPT shares that limitation.

Artificial intelligences using multiple intelligences (AI-MI) to solve problems will continue and, indeed, exacerbate. But I’m dubious about the ability of AI to read and understand people’s emotions; I’m doubtful that AI will be able to feel and generate empathy. I cannot imagine AI effectively serving as the personal intelligences.

At the New City School, we believed that each of the intelligences is important because they tapped into different human capacities. We infused MI throughout our curriculum and pedagogy to give students more pathways to learn. But we also said that we believed that the interpersonal and intrapersonal intelligences are the most important. Today I capture this by saying

“Who you are is more important than what you know.”

That is not to denigrate scholastics; kids need to learn to read, write, and calculate. It is to say that the personal intelligences – the ability to work with others and to know yourself – are the strongest contributors to success and happiness. I saw this in the progress of our students.

When we think about how our students must be prepared to succeed in the future – recognizing that we must prepare them for success in life, not to just do well in school –the importance of the personal intelligences, SEL in today’s nomenclature, is very clear. ChatGPT and its successors will dominate the routine. Our students still need to learn the 3 R’s, but we cannot stop there. We must teach them how to solve complex problems, including working with, learning from, and appreciating others.

What’s your take on AI-MI? Does the increasing pervasiveness of worry you? I would love to hear from you.

Tom (a real person)

Republished with permission from the newsletter: Intelligences Connections Volume 32, Number 5 (click here to subscribe).

Rise and Fall of IQ

By Howard Gardner

A recent article (link here) by John Anderer asks “Are we growing more dumber?” [sic]. Many readers will have seen similar headlines. The fact that people can drop on some dimensions but not on others shows that IQ is not a single monolith. The finding should not surprise anyone who is sympathetic to “MI perspectives.” After all, there is no reason to think that when one measure of intelligence goes up—or goes down—the others will necessarily move in the same direction as well.

As this article points out, around the world IQ has been rising steadily over recent decades, especially on spatial measures—presumably because our lives are enmeshed is various kinds of visual and technological entities, most of which call on spatial capacities. As we live in a world that is increasingly enmeshed in “artificial intelligence,” devices, and algorithms, we can expect similar shifts in profiles of intelligence.

What will algorithms like ChatGPT do to our personal intelligences? For now, this remains a topic for speculation—if not science fiction—but for how long is difficult to assess. We may decide to attribute personal knowledge to algorithms; we may decide to deny them that form of knowledge; or the algorithms may make their own decision!

Photo by ALAN DE LA CRUZ on Unsplash

AI and Diplomacy: The implications for MI theory

by Howard Gardner and Shinri Furuzawa

The advent of increasingly competent—one could easily say “increasingly intelligent”—computer algorithms raises this question: Which roles and occupations that have long been the prerogative—one could even say, the “exclusive prerogative” —of human beings could be handled as well as, or perhaps better, by AI? ChatGPT is the current angst-inspiring algorithm, though it will certainly not be the only authoring program available; beyond question, it threatens the future of many educational pathways and many careers as we have come to know them.

In the previous blog “AI, Personal Intelligences, and Diplomacy,” Shinri Furuzawa specified the intelligences that are presumably entailed in the practice of diplomacy. When it comes to linguistic and/or logical mathematical intelligence, ChatGPT (and kindred programs) are increasingly similar to, and often better than, human beings. In contrast, several intelligences—spatial, musical, bodily-kinesthetic, naturalist—appear unnecessary for tackling diplomatic challenges. That leaves for consideration the intelligences concerned with personhood: interpersonal intelligence (understanding of others) and intrapersonal intelligence (understanding of self).

What of “emotional intelligence”?

Dr. Martin Luther King, Jr. Civil rights march, Washington DC, 1963

Those with a casual interest in these matters will immediately ask “What about emotional intelligence?” It’s fine to use that term if you prefer, but Howard distinguishes his concepts from those of Daniel Goleman and his associates. In a word, that’s because “emotional intelligence” conflates an understanding of the world of persons and knowing how best to use that skill for benevolent purposes. By that understanding, Martin Luther King or Florence Nightingale might appear no different than a scam artist. Howard prefers not to connect computation with a specific value system. Emotional intelligence can be used to ingratiate or to manipulate.

Interpersonal intelligence

Back to the realm of the personal intelligences—these refer to abilities without assuming or presuming how those intelligences will be used. Without question, interpersonal intelligence (understanding of other persons and how to deal effectively with them) is crucial in diplomacy—and, indeed, in any interaction with other persons. This is a skill which begins early in life and can clearly be enhanced through practice and training. Most neurotypical individuals have little trouble in picking up cues about the emotions and perhaps even the motivations of those with whom they are in regular contact. In contrast, individuals who are on the autistic spectrum are defined as having difficulty in this form of understanding. That does not mean, however, that they are incapable of picking up such cues—they just need to do it in other ways.

How to train interpersonal intelligence

In his book Life Animated, journalist Ron Suskind describes how his son Owen who has ASD, learned social connection through the medium of Disney movies. Owen had memorized and could reenact entire scenes from these movies, using them to interpret emotions, behavior, and moral lessons which could be transferred to human interaction. Owen was able to train his personal intelligences by seeing appropriate emotional responses modeled in the movies. The movie dialogues provided the words and phrases to express the emotions which may also have helped him develop linguistic intelligence. This may provide the model for AI to develop personal intelligences.

At the other end of the spectrum, there are rare individuals who can pick up and remember the most minute details in the faces, bodily posture, and tone of voice of other persons. Skilled theater actors might be one example, skilled politicians another. In the case of actors, they not only observe acutely but can also mimic or impersonate. By careful study of such talented individuals, we may learn about the personal intelligences—how these intelligences are used and developed. This knowledge and understanding in turn can be drawn on by computer scientists or algorithm developers—for positive or negative purposes.

May 2002: Vladimir Putin presents George W. Bush with a letter from Catherine the Great to George III in which she denies his request to send Cossacks to aid British forces in the American Revolution (Source: US Dept. of State Archive)

In short, the better we understand how human beings handle cues from others, especially in face-to-face interactions, the more likely it is that we can program algorithms to do the same. If, for example, Vladimir Putin could understand how to gain insights into the best ways to negotiate with political leaders across the political spectrum, a contemporary Russian version of ChatGPT could be trained to gain the same insights.

At the same time, if each encounter could produce an update, so could a computational diplomat—what we call learning from experience. As an example, George W, Bush might certainly update his initial evaluation of Putin since the time when Bush commented,

"I looked the man in the eye. I found him to be very straightforward and trustworthy. We had a very good dialogue. I was able to get a sense of his soul.”

Intrapersonal intelligence

The issue of intrapersonal intelligence proves far more vexed. In modern Western society, we generally value an individual’s insights into his/her personality. And it is just possible that different computer algorithms can also come to impersonate different reflective capacities.

Psychotherapists are trained (and their profession was initiated) to help individual patients understand themselves better, thereby enhancing their intrapersonal intelligence. Indeed, such self-understanding has been a major goal of most forms of psychotherapy—to increase self- knowledge. I can give a personal example. When, at a time of difficulty, Howard saw a psychoanalyst periodically over a few months, he suggested that consider having a full-scale psychoanalysis. Howard asked, “Will I be any happier?” The therapist replied, “Not necessarily, but you’ll understand yourself better.” A terse definition of intrapersonal intelligence.

Only a Western ideal?

Consider that knowledge of oneself may be a Western ideal, one that began in classical times and was rejuvenated in the modern era, which one can date anytime from 1550 onward.

Evidence, admittedly controversial, comes from the writings of psychologist Julian Jaynes. Jaynes dates interest in and insights into one’s own personhood to the Greek era. In fact, he dates the origins to the works attributed to the oral bard, Homer. In the Iliad, characters are inevitably types—warriors, heroes, villains, protectors—one gets no sense of Achilles or Agamemnon as distinct personalities. In intriguing contrast, in the Odyssey (presumably inscribed a few centuries later) we get insights into Ulysses as a specific person, a distinct personality. And as we consider individuals from the classical era—ranging from Socrates to Marcus Aurelius—we get clear senses of their own personalities, and, if we allow ourselves to squint a bit, their understandings of themselves as individuals.

We should not go overboard—at least no more overboard than we have already ventured! Yet, many cultural anthropologists would agree that a focus on the self qua does not characterize many traditional societies. Even today, Japan is much less of a psychological, and much more of a sociological, society than most other modern nations. And as our recent study of colleges underscores (link here), American college students are much more concerned with “I” than with “we.” Lest one dismiss the students as still developing, their parents, alumni, and trustees show even more of a concern with “I” than with “we.”

Intrapersonal intelligence in diplomats

George Kennan (1904-2005) American diplomat and historian

We have wandered quite far away from the toolkit of the diplomat. And in fact, for certain diplomats under certain situations, an understanding of self may be an important asset. Though, we would add, that the understanding need not—and perhaps should not—be particularly deep. Howard has written previously (link here) about the overly introspective nature of George Kennan, an American diplomat and later historian.

Going out on a limb, we suggest that heightened intrapersonal intelligence is not an important requirement for a diplomat—whether animate or mechanical. Robert Blackwill suggested in his list of ideal qualities for successful diplomats (link here), that they should have an understanding of their own ideology and values, and their level of tolerance for policies which do not align with their own beliefs. Some foreign policy job offers might seem flattering or enticing, but if the offering institution’s ideology is not compatible, then diplomats have to know themselves well enough to be aware that accepting such positions would mean a professional life full of “pain and torment.” Though such self-knowledge would be useful, we doubt that this should be high on a list of essential skills.

Ronald Reagan—US President 1981-9

To use an example from recent history, Ronald Reagan might have been well served if he had known when he was having a bad day or was suffering cognitive decline—or when he should have consulted with his wife, Nancy, or his Chief of Staff, James Baker. However, it was hardly necessary for Reagan to have insights into how his parents affected him, or even what kind of a parent he was to his own five children. As Lou Cannon, his excellent biographer, has expressed it, Reagan’s strength was not in logical-mathematical intelligence—it was in storytelling. I would add that Reagan had a good sense of which stories to tell to which audiences, and that reflected heightened interpersonal intelligence.

In sharp contrast to Ronald Reagan, who we suggest had relatively little insight into himself—he did not know or care about the depth or breadth of his psyche, Barack Obama had considerable insight into himself, as befits a 21st century intellectual (see his memoir, Dreams From my Father). And yet, while critical of Reagan and admiring Obama, we would hesitate to rank order their diplomatic skills. In fact, Reagan may have been more successful in negotiating with the Soviet Union than Obama was with China. Going further out on a limb, we wonder to what extent intrapersonal intelligence has been as important in human history as the other forms of intelligence.

Stepping back, we may tentatively conclude that, in addition to linguistic and logical intelligences, a computer-as-diplomat needs to possess, or develop, a powerful sense of the individuals or groups with which it is negotiating. But sense of self—whatever that might mean to AI—can be saved for another day, or another world.

 

References

Cannon, L. (2000). President Reagan: The Role of a Lifetime. Public Affairs.

Jaynes, J. (2000). The origin of consciousness in the breakdown of the bicameral mind. Mariner books.

Suskind, R. (2016). Life animated: Sidekicks, Heroes and autisms. Kingsolver.

Could AI Replace Diplomats?

By Shinri Furuzawa

New computer algorithms are developing personal intelligences and are capable of outperforming us at games requiring skills once thought to be specific to humans. For decades, computers have surpassed us at games which are primarily logical, syntactic, or mathematical, such as chess, or Go.

Now, however, a recent article in Science describes the Cicero algorithm which can win against humans at the board game, Diplomacy. Enjoyed by the likes of John F. Kennedy and Henry Kissinger, this is a game which requires intuition, persuasion, and deception. Cicero is able to discuss strategy, forge alliances, and carry out subterfuge and betrayal. It mimics natural human language in text conversations that entail negotiation with other players. The ability to observe and evaluate the trustworthiness of other players while convincing others of one’s own trustworthiness, and dealing with imperfect information, are key skills for actual human diplomats.

All things considered, one wonders how close AI could come to replicating the skills of a real diplomat and whether one day, AI could even replace human diplomats.

What Makes a Good Diplomat?

Former high-level American diplomat Robert Blackwill, suggested fifteen qualities which he thought essential for diplomats. Perhaps a third of these characteristics are inherent, and therefore irrelevant to AI, such as resilience to failure, or honesty. In other areas, such as analytical skills, attention to detail, or knowledge of history, AI already surpasses humans.

AI would, however, struggle in any area involving interactions that occur in person when the personal intelligences are especially vital. Diplomats must accurately collaborate, observe and evaluate others, and understand other people’s motivations while taking into account cultural, political, organizational and other differences. These trained professionals form mental models of their antagonists, and update them even unconsciously.

Diplomats are also skillful in interpreting non-verbal cues such as facial expressions, eye movement, and body posture. For decades, it has been common for diplomats to receive specific instruction on these interpersonal skills. While AI has made advances in interpreting non-verbal cues and information, it’s not quite there.

  • Facial and emotional recognition: AI is already being used to recognize faces and monitor people’s facial expressions, for example, in airport security systems. The problem for affect detection algorithms arises, however, with the fact that facial expressions of emotion are not universal; the way in which people communicate their emotions can vary according to culture or the situation. AI also performs better at recognizing Caucasians over people of color, a further problem that may lead to racial profiling.

    If AI can’t yet read us well by looking at our faces, it does better at listening to our voices.

  • Voice analysis: AI already has voice recognition and realistic voice generation. It can now also be used to detect patterns and characteristics in the voice that cannot be picked up by the human ear. Algorithms can predict psychiatric illness and other health conditions. By analyzing recordings of Vladimir Putin’s voice in February and March of 2022 during the ongoing war in Ukraine and comparing them to a recording of a talk he gave in September 2020, AI was able to detect stress levels 40% above baseline. While AI can collect such data, it must still be interpreted by humans and cannot—or at least should not—be used to predict human behavior. 

    AI capabilities may still be nascent in some areas, but they will only improve in the future.

Could AI RENDER Human Diplomats OBSOLETE?

Diplomacy may involve skills that we have long considered to be quintessentially human. I talked to Steven Siqueira, a former Canadian diplomat and chief of staff for several UN peace operations, and to Dr. Martin Waehlisch who leads the Innovation Cell in the Policy and Mediation Division of the UN Department of Political and Peacebuilding Affairs. I asked them what a diplomat does that an AI could never do. It seems to me, that it comes down to interpersonal intelligence.

Steven Siqueira - former Canadian diplomat and chief of staff for several UN peace operations

Martin Waehlisch - leads the Innovation Cell in the Policy and Mediation Division of the UN Department of Political and Peacebuilding Affairs

  • Developing personal relationships: In Siqueira’s view, “You need personal relationships to get things done.”

    He gave the example of when he was tasked with establishing a UN mission in Sudan. Siqueira negotiated with a high number of separate stakeholders, which meant cultivating a myriad of different relationships. AI may be able to form analyses and identify requirements, but actual implementation is a human task. It would be extremely hard for AI to navigate the interface between personalities, and the intricacies behind each stakeholder’s position: their limitations and accountability whether it be to politicians, the military, civil society, or the media, all while working together towards a mutually satisfactory outcome.

Political scientist, Joseph Nye, would agree on the value of human relationships. Nye describes the importance of “soft power” as opposed to traditional “hard power” which relies on military or economic strength. He suggests that agreements and alliances today are fostered more through amicable relations, using tact and warmth, rather than aggressive tactics. According to Nye, even a smile can be a soft power resource. Diplomatic efforts need to be directed at citizens, not just governments, shifting to influence through likeability, attraction, and relationship rather than power—or at least in addition to—force, or coercion. As Waehlisch says, “The future is about soft skills… I was skeptical of emotional intelligence but I’m more and more convinced.”

  • Innovative thinking: AI’s ability to think creatively and adapt to circumstances is also questionable. AI cannot respond in innovative ways if it is only drawing from the past. In the Diplomacy game, the chatbot is not creating anything new, it’s regurgitating based on percentages of success rates in past games.

    In the real world, diplomats think on their feet and rely on their training and experience to deal with new situations. This aligns with the last point on Blackwill’s list; diplomats must be quick to recognize opportune moments and know how to exploit fortuitous and unforeseen circumstances when they arise.

  • Experience: In diplomacy, experience is crucial. Diplomats are trained through mentoring and vital skills are learned on the job. Blackwill listed learning from experience as an essential skill for diplomats, and as he puts it,“Would you hire a plumber who was academically well-versed in water distribution, but had never installed a pipe?”

What Role Does AI Have to Play in Diplomacy?

AI may fall short in personal intelligences, but it fares significantly better in linguistic and logical-mathematical intelligences. Siqueira and Waehlisch provided some insights into how AI is being used in diplomacy now, and how it could be used in the future.

  • Generating text: Blackwill’s list of essential skills includes the ability to write and speak well, or linguistic intelligence. The latest reports on Open AI’s ChatGPT-3 attest to AI’s ability to converse convincingly with a human. It can engage in philosophical discussions, tell (bad) jokes, and debate political issues; it can also write and debug code, write college-level essays, and take tests successfully. Whether the task entails making an after-dinner speech or giving a presentation, AI can be programmed to tailor language, tone, style, format to match an audience. Many of the more mundane report-writing tasks performed by interns today could be carried out by AI. Diplomats will no doubt increasingly rely on AI for research.

  • Mediation: AI could be used to support mediation. At the UN, for example, all mediated agreements are in a database. AI could easily draw upon the same language to mitigate similar situations that have occurred in the past. AI could scan and track different clauses—thereby providing valuable insights and perhaps helping to sustain peace efforts.

  • Advisory roles: Computers are able to process and instantly retrieve exponentially more information than humans, enabling them to take over traditional advisory roles. Diplomats on the UN Security Council use their smartphones to find information or receive instructions rather than relying on advisors to whisper in their ears. Computer programs and algorithms are superior at assessing data and anticipating outcomes—important skills in negotiation.

  • Targeting resources: At the UN, AI capacities in the form of data aggregators are already being used to analyze the press releases and communiques of all foreign ministries, allowing political officers to “mine the sentiment” on a given topic. Knowing which countries are most concerned about an issue enables targeted approaches—for example, by knowing which countries may be open to providing donor resources.

    Geospatial technology has recently made significant advances in providing “eyes in the sky.” These capacities entail data collection and analysis in fragile states which can improve monitoring and allow targeted humanitarian or peacekeeping efforts. It’s important to remember, however, that early warning doesn’t mean early action–political decision-making must still be done by people. Technology can’t fill this gap.

  • Increased productivity: AI undoubtedly improves productivity. It offers internal solutions by tackling intrinsic systemic challenges with products aimed at automation and speed. External solutions enable closer human connections which results in inclusivity.

  • Access: AI also enables dialogue. Many groups that once could not have been part of the negotiation process due to geographical remoteness, or that were simply not allowed at the table, can now be party to the conversation. Increased opportunities in terms of language and translation capabilities through TV and radio mining enable access to low-resource languages. Such outreach outflanks cultural and language barriers. 

  • Training intrapersonal intelligence: New advances in virtual reality (VR) can be used to develop a diplomat’s intrapersonal intelligence. Such technology allows active “body swapping,” so people can “walk each other’s journeys.” Built-in behavioral science experiments may well detect implicit biases and identify cognitive challenges. VR provides a safe space for diplomats to learn about themselves, discover their biases, and better understand their interactions with others. Put differently, it fosters perspective-taking and helps overcome dehumanization. As Waehlisch suggested, “What if Netanyahu went through an Israeli checkpoint as a Palestinian?” In VR, he would see how people looked at him, the weapons pointed at him, and feel the danger, to perhaps reveal a new perspective.

Dangers of AI in Diplomacy

There are some things that can never be left to AI.

  • Decision making: Delegating decision-making to AI would be a mistake, even though in some ways it could be seen as desirable.

    It is conceivable that AI could be programmed to make more rational, fair, and evidence-based decisions than humans. After all, AI is not vulnerable to human emotions or weaknesses. For centuries, the ideal diplomat was like a robot, coldly efficient, rational, and devoid of emotion, as codified in diplomatic protocols. Indeed, diplomats are routinely rotated every few years to prevent emotional attachments. In contrast, AI has no problem remaining detached and calm in stressful situations. Without emotions or physical sensations, AI could not be threatened or made to feel vulnerable in the same way as a human, for example, as when Vladimir Putin used his dog to intimidate Angela Merkel—famously terrified of dogs. AI would not be motivated by personal gain, or be tempted to abuse its authority and would be untroubled by the personal cost of resisting political pressure and standing by diplomatic policy decisions (in a nation’s interest) even if unpopular. AI would not be susceptible to exhaustion or lapses in judgment. In fact, a survey conducted by the Center for the Governance of Change at IE University in Spain, one in four Europeans indicated that they would prefer policy decisions be made by AI rather than politicians. However, in decision-making complete rationality is not always best.

Take as an example, the “Prisoner’s Dilemma” from game theory. Even though mutual cooperation would yield a greater net reward, the only possible outcome for two purely rational prisoners is betrayal. And of course, in real life, this stance could quickly lead to escalated military action, or nuclear war and mutual destruction. Even if we set parameters beforehand, these may be incomplete or fail. Would AI have the ability to pull back? If an algorithm were tasked with bringing about world peace, an efficient move might be to eradicate all humans from the planet.

Yejin Choi, a computer scientist and 2022 recipient of the MacArthur “Genius grant,” makes the same point from an ethical standpoint. In one interview, she said that in the most fundamental ways, “AI struggles with basic common sense.”

While humans understand many things, such as common exceptions to rules, AI must be specifically taught, or be at risk of choosing extreme or damaging solutions that humans would never consider. Choi argues the challenge will be to account for value pluralism, to teach AI that values can be broad and that diverse viewpoints need to be taken into account. Ethical guidelines are necessary but there is no one moral framework that can be imposed. The implications for diplomacy are dangerous. While AI will continue to improve, Choi doubts that humans will ever create sentient artificial intelligence, or AI with true intrapersonal intelligence.

  • Malevolence: There is potential for AI technology to be used maliciously. We need to work on ways to forecast and mitigate such threats. The threat of AI is easy to see in what has been described as today’s “post-truth era.” AI is being used for negative messaging which leads to greater polarization, destabilization of existing frameworks, and the influencing of elections.

  • Bias: There is also the problem of bias in AI systems. While often seen as a technical problem, most AI bias stems from human biases and systemic, institutional biases. For machine learning models to work well, a very large and diverse, and robust set of data involving all ages, genders, ethnicities, and other demographic criteria must be used. In the history of Western diplomacy, key decisions have been made by mostly men of a certain profile which could certainly skew the dataset. Regulations and safeguards are of course necessary. Excessive concentration in AI space and in a handful of technology companies must also be avoided through regulation—for example, encouraging competition and not allowing monopolization.

“The Greatest Threat and the Greatest Opportunity”

French Ambassador, David Cvach, said in a 2018 Tedx talk that AI is both the greatest threat and the greatest opportunity for diplomacy. There is truth to this assertion.

Sophia robot

In the field of international relations and diplomacy, AI is touted more often as a threat, for example, in terms of autonomous weapons. Though AI may have (often unintentional) negative consequences, organizations such as AI For Peace have a different stance: on their account, dialogue between academia, industry and civil society can help ensure the benefits of AI while minimizing the risks. Waehlisch has suggested machine learning and natural language processing can be used to promote peace. His chief concern is how to use new technologies to help de-escalate violence and increase international stability.

I would argue that while AI will augment the work of human diplomats making them more efficient and effective, it will never be more than a useful tool in diplomacy. Indeed, it could not and should not replace human diplomats. AI might outperform humans at most analytical tasks, but humans will still surpass AI at more subtle, “feeling tasks.” Even as algorithms come closer to replicating human interpersonal intelligence, direct person-to-person interaction is probably the most important method of increasing or maintaining “soft power” in diplomacy. Chatbots may be able to fool humans at the Diplomacy game online, but robots such as Sophia (appointed in 2017 as the UN Development Program’s first Innovation Champion), could not yet be mistaken for human.

On the positive side, the opportunities of AI lie in creating a more level playing field, as long as technology is not limited to wealthy countries. The ability of diverse stakeholders to use algorithms could provide more holistic and comprehensive solutions to today’s challenges, such as forced migration or unanticipated pandemics. Perhaps AI can be a means for engaging and uniting people around the world on issues of mutual interest for a more peaceful and sustainable future. We should use all our multiple intelligences, and the possibilities of artificial intelligence, to achieve this end.

In our next blog post, Howard Gardner will discuss the implications of AI in understanding human personal intelligences.

I would like to thank Howard Gardner for his valuable input into this post. I am also grateful to Steven Siqueira and Martin Waehlisch for very kindly agreeing to interviews and sharing their thoughts.