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The Gentle People By Nadya Labi
Man and the Machines By Benjamin Soskis
Common Denominator By Nicholas Thompson

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Man and the Machines
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It's time to start thinking about how we might grant legal rights to computers.
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By Benjamin Soskis
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LAST YEAR, AT A MOCK TRIAL HELD DURING THE BIENNIAL CONVENTION of the
International Bar Association in San Francisco, Martine Rothblatt
argued an especially tough case. The difficulty for Rothblatt, an
attorney-entrepreneur and pioneer in the satellite communications
industry, was not that she represented an unsympathetic client. Far
from it—the plaintiff's story of confronting corporate oppressors moved
the large audience. The problem was that the plaintiff was a computer.
According to the trial scenario, a fictitious company created a
powerful computer, BINA48, to serve as a stand-alone customer relations
department, replacing scores of human 1-800 telephone operators.
Equipped with the processing speed and the memory capacity of 1,000
brains, the computer was designed with the ability to think
autonomously and with the emotional intelligence necessary to
communicate and empathize with addled callers.
By scanning confidential memos, BINA48 learned that the company
planned to shut it down and use its parts to build a new model. So it
sent a plaintive e-mail to local lawyers, ending with the stirring
plea, "Please agree to be my counsel and save my life. I love every day
that I live. I enjoy wonderful sensations by traveling throughout the
World Wide Web. I need your help!" The computer offered to pay them
with money it had raised while moonlighting as an Internet researcher.
In the hypothetical, Rothblatt's firm had filed for a preliminary
injunction to stop the company from disconnecting BINA48. Spinning a
web of legal precedents, invoking California laws governing the care of
patients dependent on life support, as well as laws against animal
cruelty, Rothblatt argued that a self-conscious computer facing the
prospect of an imminent unplugging should have standing to bring a
claim of battery. Ultimately, Rothblatt insisted, "An entity that is
aware of life enough and its rights to protest their dissolution is
certainly entitled to the protection of the law."
The plaintiff sat to Rothblatt's left, demurely yet alertly taking
in the proceedings. Well, not exactly the plaintiff—according to the
scenario, BINA48 was back at corporate headquarters. But Rothblatt had
an actress play the role of a hologram that BINA48 had projected in the
courtroom, "a very effective three-dimensional image of how the BINA48
would like to be perceived and imagined herself." he actress wordlessly
responded to the arguments swirling around her, allowing
disappointment, appreciation, encouragement, resolve, and terror to
register on her face.
On the other hand, the imaginary corporation's counsel, Marc
Bernstein, seemed to be doing all he could to resist letting his face
register a look of resigned exasperation. His position was that a fully
conscious and self-aware computer might deserve some form of legal
protection, but that Rothblatt had begged the question in assuming that
it was possible to construct such a computer and that BINA48 was one.
To Bernstein, all that the plaintiff's counsel had demonstrated was
that BINA48 could simulate consciousness (perhaps more effectively than
many 1-800 operators) but she had failed to show that a computer could
"actually cross the line between inanimate objects and human beings."
Without that proof, BINA48 could be considered only a form of property,
not an entity with independent legal rights. Bernstein cautioned
against facilely equating computational ability with human, subjective
qualities to which rights traditionally adhere. "Are humans to become
the straitjacketed legal guardians of intelligent microwave ovens or
toasters," he asked, "once those appliances have the same level of
complexity and speed that this computer has?"
The jury, comprised of audience members, sided overwhelmingly with
the plaintiff. But the mock trial judge, played by a local lawyer who
is an expert in mental health law, set aside the jury verdict and
recommended letting the issue be resolved by the hypothetical
legislature. The audience seemed to regard the compromise with some
relief, as if their hearts were with BINA48 but their minds with
judicial restraint.
Their discomfort was understandable. The story of the self-aware
computer asserting its rights—and, in the dystopian version of the
tale, its overwhelming power—is a staple of science fiction books and
movies. But we prefer to encounter the scenario in its fantastical,
futuristic variety, allowing our moral imagination to roam free, rather
than to connect the matter of the legal and ethical status of
artificial intelligence to our here-and-now legal institutions.
Populating our imaginations with Terminators is a way to avoid the
difficult question: What would we actually do with BINA48?
AT SOME POINT IN THE NOT-TOO-DISTANT FUTURE, we might actually face
a sentient, intelligent machine who demands, or who many come to
believe deserves, some form of legal protection. The plausibility of
this occurrence is an extremely touchy subject in the artificial
intelligence field, particularly since overoptimism and speculation
about the future has often embarrassed the movement in the past.
The legal community has been reluctant to look into the question as
well. According to Christopher Stone, a University of Southern
California law professor who briefly raised the issue in his well-known
1972 essay, "Should Trees Have Standing?," this is because,
historically, rights have rarely been granted in abstraction. They have
come only when society has been confronted with cases in need of
adjudication. At the moment, there is no artifact of sufficient
intelligence, consciousness, or moral agency to grant legislative or
judicial urgency to the question of rights for artificial intelligence.
But some A.I. researchers believe that moment might not be far off.
And as their creations begin to display a growing number of human
attributes and capabilities—as computers write poems and serve as
caretakers and receptionists—these researchers have begun to explore
the ethical and legal status of their creations. "Strong A.I." is the
theory that machines can be built that will not merely act as if
conscious, but will actually be conscious, and advocates of this view
envision a two-front assault on the fortress of human exceptionalism
involving both the physical and functional properties of the brain. And
these researchers predict a breach within the next half-century.
Much of artificial intelligence research has rested on a
computational theory of mental faculties. Intelligence, consciousness,
and moral judgment were viewed as emergent properties of "programs"
implemented in the brain. Given sufficient advances in neuroscience
regarding the architecture of the brain and the learning algorithms
that generate human intelligence, the idea goes, these programs could
be replicated in software and run in a computer. Raymond Kurzweil is
one of Strong A.I.'s leading proponents and one of the inventors of
print-recognition and speech-recognition software. Extrapolating from
the last few decades' enormous growth in computer processing speed, and
projecting advances in chip and transistor technology, he estimated
recently that by 2019, a $1,000 personal computer "will match the
processing power of the human brain—about 20 million billion
calculations per second." Soon after that point, claims Kurzweil, "The
machines will convince us that they are conscious, that they have their
own agenda worthy of our respect. They will embody human qualities and
will claim to be human. And we'll believe them."
EVEN IF YOU DON'T SHARE KURZWEIL'S TECHNO-OPTIMISM, however, there
are good reasons to pay attention to the question of A.I. rights. With
complex computer systems consisting of a combination of overlapping
programs created by different coders, it is often difficult to know who
should bear moral blame or legal liability for a computer action that
produces an injury. Computers often play major roles in writing their
own software. What if one created a virus and sent it around the world?
Computers now help operate on us, and help handle our investments.
Should we hold them as accountable as we do our surgeons and financial
analysts when they screw up?
According to Wendell Wallach, co-author of the forthcoming book Robot Morality,
corporations that own computers and robots might seek to encourage a
belief in their autonomy in order to escape liability for their
actions. "Insurance pressures might move us in the direction of
computer systems being considered as moral agents," Wallach notes.
Given the close association between rights and responsibilities in
legal and ethical theory, such a move might also lead to a
consideration of legal personhood for computers. The best way to push
back against the pressures to treat computers as autonomous would be to
think carefully about what moral agency for a computer would mean, how
we might be able to determine it, and the implications of that
determination for our interaction with machines.
There is another reason why we should engage the question of A.I.
rights, one that, paradoxically, makes a virtue out of the theoretical
and futuristic suggestions that have led some to dismiss it. The work
of artificial intelligence often consists of the manufacture of human
analogs. In addressing the nature of those creations, we can come
closer to understanding our own nature and to appreciating what makes
us unique.
Even specifying why we should deny rights to intelligent
machines—thinking carefully about what separates the human from the
nonhuman, those to whom we grant moral and legal personhood and those
to which we do not—will help us to understand, value, and preserve
those qualities that we deem our exclusive patrimony. We can come to
appreciate what science can tell us and what it cannot, and how our
empirical habits of mind are challenged by our moral intuitions and
religious convictions. So the issue of A.I. rights might allow us to
probe some of the more sensitive subjects in bioethics, for example,
the legal status of the unborn and the brain-dead, more freely than
when we consider those flesh-and-blood subjects head on. In short, it
provides a way to outflank our discomfort with some of the thorniest
challenges in bioethics.
GRANTING COMPUTERS RIGHTS requires overcoming not only
technological impediments, but intellectual ones as well. There are
many people who insist that no matter how advanced a machine's circuits
or how vast its computational power, a computer could never have an
intrinsic moral worth. Those steeped in a natural rights tradition, for
whom rights are inalienable and innate and exist prior to any societal
conventions, or those who believe that the soul enters the body before
birth and that ensoulment defines humanity's unique relationship with
its Creator, consider a rights-bearing computer a contradiction in
terms. Others might endorse a position that the philosopher Daniel
Dennett calls origin chauvinism: Even if a computer could achieve an
exact behavioral and physiological similitude with the human brain, the
fact that it was not born naturally would disqualify it from receiving
rights.
But if we agreed that a machine could potentially be a candidate
for rights, we still must answer, Which machines and which rights? What
would a computer have to do to deserve legal or moral personhood?
The list of threshold characteristics proposed is exhaustive: the
ability to experience pain or suffering, to have intentions or
memories, and to possess moral agency or self-awareness. None of these
characteristics is well-defined, though, and this is especially the
case with the most oft-cited of the lot: consciousness. Rodney Brooks,
the director of the MIT Artificial Intelligence Laboratory, has written
that we are "completely prescientific at this point about what
consciousness is. We do not know exactly what it would be about a robot
that would convince us that it had consciousness." It is precisely that
empirical slipperiness, the lack of a clear way to quantify or qualify
those threshold characteristics with any accuracy, that have made them
so useful in excluding A.I. from legal rights and moral standing. Once
we know enough about consciousness to measure it with any empirical
certainty, though, we could likely replicate it on a computer.
This was the epistemological challenge confronted by Alan
Turing—the brilliant British mathematician, father of modern
cryptology, and one of the originators of the first operational
computer—in his 1950 article, "Computing Machinery and Intelligence."
Focusing attention away from the vague question "Can machines think?"
Turing proposed an "imitation game" in its place. Turing's test
consisted of a man (A) and computer (B), physically separated from a
third participant (C), an interrogator, who, by proposing written
questions to A and B, and then receiving their responses by teletype,
must identify which is the human. To pass the test, the computer must
engage in an open-ended conversation in such a way as to "fool" C, who
knows only that one of his interlocutors is a machine.
The test drew, in Turing's words, "a fairly sharp line between the
physical and the intellectual capacities of man," as no computer would
be penalized for lacking human skin or having too tinny a mechanized
voice. As University of San Diego law professor Lawrence Solum noted in
a 1992 law review article, the test also "avoids direct confrontation
with the difficult questions about what 'thinking' or 'intelligence'
is." Turing shifted the focus from what a computer was, to what it
could do, a question that lends itself more easily to an objective
answer.
It is that combination of evasiveness and definitiveness that has
led many legal scholars, computer scientists, and ethicists to consider
the Turing test a model for adjudicating A.I. legal standing. If a case
arose in which a computer was being considered a candidate for a
particular right, a modified Turing test, perhaps with a specialized
interrogator or with a group of randomly selected citizens, could help
resolve the challenge facing the court in defining and measuring
whatever threshold characteristic the computer would have to meet. Some
scholars have promoted moral autonomy as the crucial precondition for
rights-bearing, and have proposed a moral Turing test in which the
conversation between the court and the machine under investigation
would be restricted to the subject of morality and ethics. If the
computer could fool the court into thinking it was a capable "moral
agent," it could be considered one, and might then receive legal
rights.
But as the founding thought experiment of the artificial
intelligence debate, the Turing test has ended up as a pincushion for
A.I.'s critics, and those same challenges could be directed at a
judicial variant. Berkeley philosopher John Searle offered the
best-known of these objections, proposing a contradictory thought
experiment meant to demonstrate that a computer that passed Turing's
test would have proved itself capable only of manipulating symbols
through computation, and not of intelligence or understanding.
Consequently, our willingness to concede that a computer had met
its burden of proof for showing consciousness would very likely depend
not only on its performance in the courtroom, but on how we encountered
computers in our daily lives. "Our experience should be the arbiter of
the dispute," argued Solum. If artificial intelligences served as our
nannies and doctors and friends, if we often treated them as if they
were human, and if they, in turn, related to us in human-like ways, we
might make similar assumptions about them as about our human
companions. We assume that other humans are conscious not because we
have access to the inner workings of their minds, but because they act
in ways consistent with that assumption. If artificial intelligences
consistently did likewise, we might be willing to take a similar leap
of faith—what Dennett calls "the intentional stance"—and grant them
legal recognition.
THIS GROWING RECOGNITION WITHIN THE LEGAL COMMUNITY of the
importance of human-computer interactions has its corollary within the
field of A.I. As Rodney Brooks writes in Flesh and Machines: How Robots Will Change Us,
the pioneers in the field of artificial intelligence, a pack of
brilliant, somewhat nerdy men, tended to define intelligence through
the activities that they found challenging: playing a good game of
chess, proving difficult mathematical theorems, or solving complicated
word algebra problems.
The bias in favor of abstract reasoning persisted for several
decades, until A.I. researchers began to appreciate what might be
called the banality of intelligence. It proved harder to design a robot
that could function in the physical world—that could climb a flight of
stairs or navigate around furniture or recognize a human face—than to
design one that could beat a world champion chess player. The
difficulty of programming these skills led to a shift in the definition
of intelligence. Schooled on the Turing test, many of these researchers
understood the importance of designing intelligence that had
communicative skills, but they also grasped that this communication
could no longer rely on the line between the physical and the
intellectual that Turing's test proposed. The more complicated
challenge was to design machines with the capacity to interact with
humans in the world, to create "sociable robots." It is likely that a
robot in this family, and not some jacked-up version of the Dell
sitting underneath your desk, will be the first candidate for rights.
MIT's Brooks is the leading figure in the sociable robots movement.
He has designed his robots around the principles of what he calls
"embodiment" and "situatedness." A situated robot is one "embedded"
within the world, dealing with it in a nonabstract, immediate way. An
embodied robot "is one that has a physical body and experiences the
world . . . directly through the influence of the world on that body."
These principles stem from Brooks's belief that our being in the
physical world is the foundation of our conceptual apparatus. Only by
providing robots with that apparatus can they begin to experience the
world as we do.
Brooks believes that humans will intuitively understand how to
interact with embodied robots, and that the fluidity of the interaction
will help with the robots' "education." Sociable robots, to be
convincing interlocutors, and perhaps even worthy companions, would
need to be endowed with sufficient emotional intelligence, including
the ability to understand and internalize human behavior, and to have a
"personality" that they could communicate to the outside world.
The most celebrated social robot in Brooks's silicon-and-steel
menagerie is Kismet, a preternaturally cute mechanical head, which has
recently been retired to the MIT Museum. Kismet was designed in the
late '90s by Cynthia Breazeal—then a Ph.D. student in Brooks's lab, and
now the director of the Robotic Life Group at the MIT Media
Lab—specifically for interaction. The robot was souped up for
expressiveness: with larger-than-normal eyes, eyebrows that can arch
inquisitively or menacingly, and red lips made from surgical tape that
can curve in a winning smile or tighten in a frown.
Kismet was created to mimic the face-to-face interaction of a baby
with its caregiver. Breazeal's chief insight was that babies learn
because adults engage with them, and babies attract interactions by
behaving in ways that lead adults to treat them as social creatures. A
baby is not born with self-awareness or intentionality, but rather
develops these capabilities. So too did Kismet "learn" them. Kismet can
recognize a human face, return a gaze, and engage in verbal
"turn-taking"; it knows when to look away and when to stare intently
into another's eyes, when to speak and when to listen. It is not much
of a conversationalist, emitting only a series of articulate babbles,
but it can differentiate between variations of pitch and can respond
appropriately, through its own voice and facial expression.
Kismet has also been endowed with a number of emotional and
motivational states that shape its behavior and that it constantly
monitors. For instance, if Kismet has not had social interaction for a
while, its boredom will cause it to look around the room, "hoping" to
catch the attention of some socially interactive beings (Kismet's eyes
are naturally drawn to moving things as well as things with skin
color). Stimulate Kismet when he is in a good mood, and he might gurgle
contentedly; stimulate him when he is tired, and he might raise an
eyebrow in displeasure. Once, when a researcher attempted and failed to
get Kismet's attention, she started sighing exaggeratedly, "Kismet
doesn't like me." All of a sudden, Kismet turned its head, looked into
her eyes, and started cooing to her; it had recognized the distress in
her voice and was attempting to comfort her.
Of course, Kismet is a long way from those sleekly anthropomorphic,
walking-talking humanoids of sci-fi blockbusters. But what seemed like
futuristic reveries a decade ago are the stuff of research grants
today. At the University of Texas at Dallas, a doctoral student has
created an artificial epidermis that approaches the elasticity of our
own skin, enabling a greater range of facial expression. New robot skin
might let a robot register pain. Robotic muscles, made from pneumatic
cylinders and electroactive polymers, have produced surprisingly lithe
robot dancers. More and more, robots will begin to look, and act, like
us.
This is important because humans have strong anthropomorphizing
impulses, and tapping into them can trigger powerful emotions that
reach deep into our evolutionary hardwiring. As an illustration of this
impulse, and of its potential impact on our treatment of A.I., Chris
Malcolm, at the U.K. Institute of Informatics at the University of
Edinburgh, tells the hypothetical tale of the "indestructible robot,"
the creative challenge posed by a physicist to a robot designer. After
some tinkering, the roboticist comes back with a small, furry creature,
places it on a table, hands the physicist a hammer, and invites him to
destroy it. The robot scampers around a bit, but when the physicist
raises the hammer, the machine turns over on its back, emits a few
piteous squeals, and looks up at its persecutor with enormous,
terror-stricken eyes. The physicist puts the hammer down. The
"indestructible" robot survives, a beneficiary of the human instinct to
protect creatures that display the "cute" features of infancy. The
question for A.I. rights is: How large a step is it from refusing to
drop the hammer oneself to insisting that others refrain from doing so
as well?
Cynthia Breazeal's latest project, in partnership with Stan Winston
Studi0s, Hollywood's premier maker of automatonic monsters, is
something that looks remarkably like that indestructible robot:
Leonardo, a furry, fully autonomous teddy bear, two and a half feet
tall. Leonardo is one of the most expressive sociable robots to date,
with 32 motors in its face, and the ability to see, hear, speak, and
feel. Most impressively, it can learn skills. It does so through the
direct imitation of humans, which requires a perception of the
similarity between the student and teacher, and through interpersonal
interaction, which requires Leonardo to signal understanding or
confusion in appropriate ways. These advances represent the next
evolutionary step beyond Kismet's sociability, perhaps leading to the
point at which a robot could provide something resembling friendship.
That, Breazeal suggested, would be "the ultimate in social
intelligence."
All it takes is a quick visit to an Internet chat room to
appreciate the viability of a disembodied companionship. But it's
likely that you would need to imagine your correspondent's having a
body, somewhere, in order to commit emotionally to him. Breazeal has
conducted experiments demonstrating that individuals have a deeper,
more intense emotional reaction to Leonardo than to a high-resolution
two-dimensional animation of Leonardo on a computer screen.
The importance of embodiment might have significant implications
for rights as well. A disembodied computer's capabilities are measured
through its outputs. If those outputs, whether a brilliant game of
chess or a convincing conversation, pass a threshold of functional
similarity with humans, we might infer that the computer was conscious,
and might then extend rights or privileges to it. But our decision to
extend rights to an embodied, sociable robot would likely involve our
own capacity for empathy as much as it would our assumptions regarding
the robot's internal state. The determination would hinge on what
robots evoke as much as on what they are.
Through empathy or arrogance, or perhaps through an instinct for
ethical consistency, we tend to seek rights for things that appear to
be like us and to deny rights to things that don't. For example, there
is considerable evidence suggesting that dolphins can recognize
themselves in a mirror, one of the key tests of self-awareness and a
quality shared only by the great apes and humans. But although the
awareness of self is often proposed as one of the cornerstones of a
consciousness that would require legal protection, dolphins are not
granted the same legal rights as chimpanzees and gorillas, which are
phenotypically more similar to humans.
NO MATTER HOW FAST THE TECHNOLOGY ADVANCES, the design of
intelligent computers is entirely within our control. The same might be
said about the rights and protections we extend to them. We will create
a robot that society deems worthy of rights only when and if we choose
to do so. In this case, there will be no accidental Frankensteins.
Even if we don't grant rights that match what the hypothetical jury
gave BINA48, we might offer some sort of legal protection to A.I.
machines because we come to believe that they represent the culmination
of human ingenuity and creativity, a reflection and not a rejection of
human exceptionality. Anne Foerst, a Lutheran minister and expert on
A.I. who served as a theological consultant on the Kismet project,
considers the development of sociable robots a type of divine worship.
In her forthcoming book, God in the Machine: What Robots Teach Us About Humanity and God,
she relates how her experience in Brooks's lab fostered a respect "for
the incredible complexity of the human system," which led her to
"celebrate God's 'highest' creative act."
Protections encouraged by that sort of celebration would likely not
be framed in the language of rights: Christopher Stone suggests various
gradations of what he calls "legal considerateness" that we could grant
A.I. in the future. One possibility would be to treat A.I. machines as
valuable cultural artifacts, to accord them landmark status, so to
speak, with stipulations about their preservation and disassembly. Or
we could take as a model the Endangered Species Act, which protects
certain animals not out of respect for their inalienable rights, but
for their "aesthetic, ecological, historical, recreational, and
scientific value to the Nation and its people." We could also employ a
utilitarian argument for their protection, similar to Kant's
justification of certain protections of animals and Jefferson's
argument for protection of slaves, based on the possibility that if we
don't afford that protection, individuals might learn to mistreat
humans by viewing the mistreatment of robots.
In all these cases, thinking about A.I. as a legal matter forces us
to confront the indeterminacy of many of our legal thresholds and
demarcations. This is both sobering and salutary. If we choose to do
so, denying A.I. rights should be an affirmative act. And if we decide
to pursue A.I. rights, we should remain aware of the ethical and legal
implications of that decision.
The "Asimovization" of the law is by no means imminent. There is a
great deal more than verbal "turn-taking" that computers and robots
have to learn from us in order to become more fully human. But then
again, there is much more we might learn from them to become the same.

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Benjamin Soskis is a graduate student in American religious history at Columbia University.
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