The Delusions of Certainty Page 16

  And yet “originating things,” “following analysis,” and “anticipating analytical relations and truths” are all behaviours of brains and, therefore, of the atoms of which brains are composed. Such behaviors obey the laws of physics. So it follows inexorably from universality that, with the right program, an Analytical Engine would undergo them too, atom by atom and step by step. True, the atoms in the brain would be emulated by metal cogs and levers rather than organic material—but in the present context, inferring anything substantive from that distinction would be rank racism.238

  This passage gives remarkable insight into the thought processes behind a dematerialized theory of mind. Brains are not considered. The universality of computation means that the human mind can theoretically be emulated by “some program on a general-purpose computer, provided it is given enough time and memory” (my italics). It must proceed logically—atom by atom and step by step. The universal laws of physics require it. Deutsch is a sophisticated physicist who has done groundbreaking work on quantum computation, contributions that are indisputable and have already had an impact on scientists doing research in several fields. Deutsch believes in the widely held but impossible-to-prove idea of the multiverse, that there are many universes. Although hardly identical as theory, it makes me think of my childhood fantasies about being inside another person’s dream inside that person’s dream inside yet another person’s dream. Deutsch also believes human beings will be able to replace their bodies with computer simulations sometime in the future. Like Wiener’s fantasy that the pattern of a man will be telegraphed from one place to another, Deutsch is convinced we will become immortal via computation.

  The debates about whether minds function the way computers do are ongoing. Attacks and defenses are launched from inside and outside science. Indeed, it makes me wonder what intelligence actually is. Are computers smart or are they stupid? My computer’s program for spelling and grammar is stupid for the simple reason that it is rigid and writing well is not. Among many other failings, every time I use the passive voice, it corrects me. The program cannot have it both ways, but there are times when I want to emphasize what is acted upon as opposed to what acts. My computer has no sense of these nuances because it cannot judge them. On the other hand, I can call up books and papers in an instant on the most abstruse subjects. This still feels miraculous. Does my thinking, writing brain really work like a digital computer?

  John Searle has insisted that there is a fundamental difference between the way computers process information and the way brains do it. For the computer there is always an outside agent who codes information and then interprets it syntactically and semantically, a point that reverberates with the ambiguities inherent in the notion of a “genetic program.” But the brain, as he points out, is not “observer relative.” In the case of visual experience, for example, “the biological reality is not that of a bunch of words or symbols being produced by the visual system; rather it is a matter of a concrete specific conscious visual event—this very visual experience.” To rephrase this: the machine is not having any kind of experience. And what about the universal laws of physics? Searle contends, “Computational states are not discovered within the physics, they are assigned to the physics.”239 There have been hundreds of responses to Searle explaining why he is dead wrong. Deutsch, for one, would disagree vehemently. He offers severe criticism of approaches to artificial intelligence and offers remedies. Nevertheless, he believes that through an “inexorable” sequential motion, scientists will build, by cogs and wheels, an intelligent living being. If the AGI project has repeatedly failed to achieve anything in sixty years, this essential truth remains unmodified.

  Dreyfus’s critique echoes Lovelace. In the 1992 introduction, he argues that what came to be called “the common sense knowledge problem” in AI, the seemingly intractable problems researchers had in trying to get machines to be more like human beings, was not a problem of representing common sense symbolically, but rather a problem of what Dreyfus calls human “know-how,” a know-how that does not lend itself to being computed because it involves an implicit bodily relation to our environments.

  The problem precisely was that this know-how, along with all the interests, feelings, motivations, and bodily capacities that go to make a human being, would have had to be conveyed to the computer as knowledge—as a huge and complex belief system—and making our inarticulate, preconceptual background understanding of what it is like to be a human being explicit in a symbolic representation seemed to me a hopeless task.240

  There is an essential gap between the idea of the human being as a computing machine of symbolic information (the mental processes of which can theoretically be translated or replicated in another, but nonorganic, machine) and as something quite different, an embodied person who knows a great deal about the world preconceptually and nonsymbolically through her experience of moving around in it.

  We have highly developed sensory and motor skills that appear not to rely on either concepts or symbols. Thinking about a person this way means getting much closer to actual human experience than physics does. Theoretical physicists are searching for essences, the laws that must be at the bottom of the universe as a whole, but, despite the fact that physics is obviously involved, they are not worrying much anymore about how someone actually gets from the bedroom to the bathroom.

  Let us take a simple example of preconceptual, prereflective, or what Michael Polanyi in his book Personal Knowledge: Towards a Post-Critical Philosophy calls “tacit” knowledge, an unarticulated form of knowing, which we share with other animals.241 When I make my way through a dark but familiar room in my house at night, avoiding chairs and tables and then finding a light switch, how do I do it? Is my agility in the dark something that can be represented in symbolic code or is much of what I am doing the product of simply having moved for a long time in that particular space so that my maneuvering must be thought of as a different kind of knowledge, a knowledge that is not born of symbols or even concepts? If the body and its movements play an important role in intelligence, then GOFAI is doomed because it assumes that mental “processes” are independent of our moving bodies. This echoes Descartes: the rational thinking mind is what matters, and the body is at best its tool.

  Dreyfus is a philosopher whose insights derive not from Anglo-American analytical philosophy but from phenomenology, from a body that is not regarded as an objective thing but as a lived situation, what Husserl called Leib, the experience of the body from within. Heidegger used the same word, Leib, to refer to lived bodily experience and its horizon—that is, its borders don’t end with the top of one’s head or with one’s feet or fingertips but extend into the space of a person’s actions. Leib is part of one’s larger perceptual and active experience. The French phenomenological philosopher Maurice Merleau-Ponty wrote extensively on the role of the human body in perception and attacked the isolated Cartesian cogito in favor of what he called “lived perception” and “incarnate consciousness.” The body, he argued, is the very condition for our perception of the world and our meaningful understanding of it. “The primary truth is indeed ‘I think,’ ” Merleau-Ponty writes in the Phenomenology of Perception, “but only provided that we understand thereby ‘I belong to myself’ while belonging to the world.”242 In this conception of being in the world, our body is inseparable from and informs our thoughts. It is a dynamic reality lived as a body situation from that body’s perspective.

  Following Husserl, Merleau-Ponty expressly links one person’s life to another’s; we are enmeshed in other lives and bodies in intersubjectivity, our fundamental relations with other people, some of which are symbolized and some of which are not. After all, babies do not have symbols and can’t talk, but I believe they are conscious as feeling, sensing bodies dependent on other bodies to stay alive.

  Machines, Emotions, and Bodies

  As a girl, I loved my dolls. I made them talk, nod, dance, and wave good-bye. They suffered, loved, fought,
wept, laughed, and had long soulful and spiteful conversations with one another. In my childhood, I owned one doll that talked. When a string at the back of its neck was pulled and released, it would whine “Mommy” or “I’m hungry” or “Play with me.” These utterances were of no use in the elaborate games I liked to play, but worse, they seemed to emphasize rather than diminish the fact that the doll was just a hollow, plastic, dead thing, and I found its voice unsettling. I was the animator of my inanimate world, and when I was deep in play, that world mingled with the real world and seemed to enchant it with a breath of magic. I used to imagine that my dolls came to life at night, and sometimes I would inspect them very closely in the morning for a sign that they had moved while I was asleep and had had adventures without me. At those moments I half believed they might have moved, and the feeling it gave me was a mixture of longing and dread.

  The fantasy of the living doll long predates artificial intelligence, and it is closely related to play, creativity, the imagination, and making art. Daedalus is said to have produced statues so lifelike that they moved. The cold marble flesh of Galatea warms and softens under Pygmalion’s touch. His desire brings her to life. In these stories, the old binary nature and nurture change places. Learned skill is turned into nature itself; artifice is not a copy of life anymore but life itself. Turing’s dream of the machine that “competes with men” has many precursors. There are stories of automata in ancient Egypt, in the third century B.C. in China, as well as in ancient Greece. In his Book of Knowledge of Ingenious Mechanical Devices, the late twelfth-, early thirteenth-century Islamic scholar and engineer al-Jazari described in detail several machines powered by water or by candle heat, including a band of musicians that played their instruments in a boat and the figure of a girl who walked through a door to serve drinks. In the fifteenth century, the Rood of Grace, a figure of Jesus on the cross, rolled its eyes and moved its lips and body for pious pilgrims who came to the Cistercian abbey at Boxley in Kent, until one of Cromwell’s men exposed its wheels and pulleys and an angry crowd burned up the once holy doll. Leonardo da Vinci presented an automaton lion to the king of France in 1515, and he designed a moving knight that could sit, stand, and adjust his visor. In the eighteenth century, Vaucanson’s eating, digesting, defecating duck impressed large audiences with its complicated mechanics. The famous chess-playing Turk, a machine created by Hungarian inventor Wolfgang von Kempelen, toured Europe and repeatedly won against his opponents. The clever clockwork hid a human chess player. Not until Deep Blue beat Kasparov would a machine actually play masterful chess.

  We have countless examples of both feeling and unfeeling machine-like beings in contemporary fictions. The computer HAL in the film 2001 is not programmed to feel anything, but over the course of the film he develops emotions and self-consciousness. Mr. Spock is a machine-like, emotion-free alien, a recent edition of the wholly rational man. R2-D2, on the other hand, is a cute little machine. Science fiction teems with examples of cold and warm robots or aliens. Among my favorites are the pod people in the 1956 movie Invasion of the Body Snatchers. One person after the other is “snatched” by extraterrestrial powers and, in a nod to Mendel, copied in a human-sized pea pod, only to emerge drained of all emotion, despite the fact that he or she looks exactly like his or her old self. In the film, being human is synonymous with having feelings for other people, especially love feelings, an idea Hollywood has pressed upon us with nauseating repetitiveness. The inverse of that sentimentality is the unfeeling double, the monster, doll, or robot: the alien other as mirror reflection. If emotion plays an important part in thought, will machines ever feel?

  There are human beings for whom emotional connections to others never developed, were lost, or have been compromised in some way. Patients with Capgras syndrome suffer from the delusion that a beloved person is a double, a kind of pod person, if you will. This strange affliction may be due to brain damage that causes the person to lose the familiar feeling of intimacy we have for those we love, which is something that can be measured. Galvanic skin response is a simple way to gauge emotional arousal. Autism, an illness that I believe is too broadly defined, is in part characterized by difficulties in reading and understanding the facial expressions and intonations of other people and the nuances of social meanings in general.

  Lesions to the brain’s frontal lobe can result in a strange lack of feeling not only for other people but for one’s self. I suspect this is a problem with reflective self-consciousness. What was gained in development is lost in injury. If you have difficulty seeing yourself as a potential object of sympathy, you are bound to have all kinds of problems negotiating the world of other human beings. The psychopath who cheats and lies and even murders without remorse, who seems to lack all empathy for others, but who may hide behind a friendly, perhaps even seductive exterior, holds an enduring fascination in our culture.

  The psychopath, the ruthless robot, and the zombie might be said to play similar roles in our stories as hollow simulators of genuine feeling. The zombie, an animated corpse, resembles the empty doll that begins to breathe and yet remains an inhuman, indeed nonanimal, thing. Put a knife in the hand of an innocent-looking doll that can walk, and you have a horror movie. Surely these figures are related to the uncanny sense that in death the “person” has left or departed and what remains is just a thing, dead matter. Aristotle’s form has gone missing. The “he” or “she” is replaced by an “it.” The dead body is carted away, buried or burned; it is waste. The fascination with constructing machines that think and feel is related both to birth and resurrection wishes, to the nonbiological creation of a “real” being and to the reanimation of the dead body, but also, I think, to the artist’s wish to make something that will survive, that will last beyond the grave or beyond incinerated ashes. Can scientists create atom by atom and step by step an intelligent, experiencing, emotional being without an organic body? And will it be Pygmalion’s Galatea or Frankenstein’s monster?

  Despite David Deutsch’s optimism about the capacity of machines to feel boredom and kindness, it is hard for me to see how felt emotional states can be programmed into a computer without some kind of sensual body and experienced sensations. In good, old-fashioned artificial intelligence, feeling boredom, joy, fear, or irritation must be turned into a rational process that can be translated into symbols and then fed into the computer. Emotion has to be lifted out of a feeling bodily self. This is not easy to do. When I’m sad, can that feeling be parsed purely through logic?

  One may also ask if it is possible to reason well in our everyday lives without feelings. It is now widely acknowledged that emotion plays an important role in human reasoning. Without feeling, we aren’t good at understanding what is at stake in our lives. And therefore psychopaths and some frontal lobe patients who lose the ability to feel much for others are profoundly handicapped, despite the fact that a number of them can pass tests that show they have no “cognitive” impairment and can “compute” just fine. They may well be able to follow the sequence of a logical argument, for example, but they suffer from an imaginative emotional deficit, which results in their inability to plan for the future and protect themselves and others accordingly.

  And if this affective imagination is not a conscious act that requires I tell a story to myself about what it would be like to be you or how I will feel tomorrow if I scream at you today, although such thoughts may accompany my gut sense of what to do or not to do, then how can it be programmed into a machine? When this emotional imaginative ability is missing, people often suffer ruinous consequences. Reasoning, it seems, does include more than Hobbes’s addition and subtraction, more than step-by-step calculations. Reasoning is not a pure state of logical calculation but one mixed with emotion.

  In his book Descartes’ Error, Antonio Damasio criticizes the modern forms of Cartesian dualism that live on in science. He lashes into the concept “that mind and brain are related but only in the sense that the mind is the software program r
un in a piece of computer hardware called brain; or that brain and body are related, but only in the sense that the former cannot survive without the life support of the latter.”243 Damasio is invested in understanding the self and human consciousness through biological processes. In Self Comes to Mind, he addresses the engineering and computational metaphors for the brain and writes, “But the real problem of these metaphors comes from their neglect of the fundamentally different statuses of the material components of living organisms and engineered machines.” The difference, he argues, is fundamental: “Any living organism is naturally equipped with global homeostatic rules and devices; in case they malfunction, the living organism’s body perishes; even more important, every component of the living organism’s body (by which I mean every cell) is, in itself, a living organism, naturally equipped with . . . the same risk of perishability in case of malfunction.”244 He goes on to compare this organic reality to a plane, the 777: “The high-level ‘homeostatics’ of the 777, shared by its bank of intelligent on-board computers and the two pilots needed to fly the aircraft, aim at preserving its entire, one-piece structure, not its micro and macro physical subcomponents.”245 The idea of “homeostasis,” a word coined by Walter B. Cannon in the 1920s, predates Cannon’s term. Both Claude Bernard and Freud argued that organisms are equipped to maintain a physiological equilibrium. Unlike cognitive psychologists, with their emphasis on a computational “mind,” Damasio seeks to explain what we call mind and consciousness through our organic brains, without forgetting that our brains are also in our bodies, which are in the world. He is keenly aware of a difference between cellular and machine structures. “Homeostatics” in a plane and homeostasis in an organism do not function in the same way.