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'Throughline' examines artificial intelligence — and these days AI is everywhere
Robots. Androids. The Terminator. C3P0. We've given a lot of names to AI: artificial intelligence. Some believe it's the key to humanity's future, others the first step towards our downfall.
MICHEL MARTIN, HOST:
Artificial intelligence in everything from dating apps to medical care forms an invisible architecture for modern life. For humans, it raises a question that science fiction has often grappled with - can we make a more perfect version of ourselves?
(SOUNDBITE OF FILM, "FRANKENSTEIN")
COLIN CLIVE: (As Henry Frankenstein) It's alive. It's alive. It's alive.
MARTIN: Rund Abdelfatah and Ramtin Arablouei host NPR's history podcast Throughline, and they bring us this origin story for AI.
RUND ABDELFATAH, BYLINE2: It's the summer of 1956 at Dartmouth College in Hanover, N.H.
MEREDITH BROUSSARD: And 10 men get together to invent the field of artificial intelligence.
ABDELFATAH: This is Meredith Broussard. She's a data journalism3 professor at New York University.
STEPHANIE DICK: It was instigated4 by John McCarthy, who was a mathematics professor at Dartmouth.
ABDELFATAH: And Stephanie Dick, an assistant professor at Simon Fraser University who specializes in the history of mathematics and computing5.
DICK: The proposal that John McCarthy wrote pulls no punches at all - quote...
BROUSSARD: "We propose that a two month, 10-man study of artificial intelligence be carried out during the summer of 1956 at Dartmouth College in Hanover, N.H."
DICK: Second sentence.
BROUSSARD: "The study is to proceed on the basis of the conjecture6 that every aspect of learning..."
DICK: "...Or any other feature of intelligence can, in principle, be so precisely7 described..."
BROUSSARD: "...That a machine can be made to simulate it."
Something else that I think was really interesting about this conference is they decided8 on the name artificial intelligence as the name of their new field. I think the name was chosen aspirationally. There's a lot of desire to make science fiction real, that you're going to make a sentient9 machine. It's an enormously grandiose10 idea.
DICK: The Dartmouth conference has become an origin myth commemorated11 with a plaque12 and everything - on this site, artificial intelligence was born. But in practice, the conference was a bit of a flop13, actually. There was a lot of conflict and tension and disagreement, and there wasn't actually a coherent field that emerged out of the conference.
(SOUNDBITE OF MUSIC)
DICK: We hear nothing in that origin myth about the relationship that AI has to industrialization or to capitalism14 or to these colonial legacies15 of reserving reason for only certain kinds of people and certain kinds of thinking.
(SOUNDBITE OF MUSIC)
RAMTIN ARABLOUEI, BYLINE: And that's important because those legacies provided a lot of the vocabulary for the field that would become known as AI. For centuries, factories had been reshaping the nature of work as more and more tasks that had once been done only by human hands were now being done by machines. And this era of rapid technological16 advancement17 culminated18 in the 20th century with the creation of something truly terrifying.
(SOUNDBITE OF ARCHIVED RECORDING)
UNIDENTIFIED PERSON: At zero minus 15 seconds, a warning tone sounds in the plane.
ARABLOUEI: The atomic bomb.
(SOUNDBITE OF EXPLOSION)
ABDELFATAH: The atom bomb made many people wary19 of new technologies. But some elite20 academics and scientists believed that better technology was actually the key to our future.
DICK: What if human decision-making procedures were too slow? What if people's judgments21 are clouded by their emotions?
ABDELFATAH: The thinking was that we could engineer our way out of the problems we'd created, and that led to a boom in investment in science and technology, including artificial intelligence.
ARABLOUEI: Which brings us back to that famous Dartmouth conference in the summer of 1956. After all, a conference of mathematicians23 and scientists...
BROUSSARD: Mostly white men who were educated at elite institutions.
ARABLOUEI: ...Seemed like a pretty good investment. And while they couldn't agree on much, they did share a philosophy of AI, characterizing human minds and digital computers as...
DICK: Quote-unquote, "species of the same genus." They are fundamentally the same. Bodies don't matter. Society doesn't matter.
ABDELFATAH: Keep in mind, at this point, computers were so big, they took up whole rooms, made tons of noise and had vacuum tubes for data input24.
DICK: You know, the most disturbing part of the history of AI for me comes from the fact that these men who were working in artificial intelligence looked at those massive, noisy, hot mainframe computers and saw themselves in it.
ARABLOUEI: One proposed measure of machine intelligence was something called the Turing test, named for its creator, British mathematician22 Alan Turing.
ABDELFATAH: The way it works is a computer and a human being are put in separate rooms. A judge asks each of them questions without seeing either.
DICK: And then the judge, of course, is meant to be able to figure out whether the machine is the human or the human is the human. And what I have always found so shocking about the Turing test is that it reduces intelligence to telling a convincing lie, to putting on the performance of being something that you're not.
BROUSSARD: And so we see the blind spots of the creators then reflected in the technological artifacts that they create.
ABDELFATAH: With each new advancement in AI, humans have continued to move the goalpost for what true intelligence means, as we grapple with the same fundamental question those creators did.
DICK: What is it that is uniquely human?
ABDELFATAH: Maybe it's our intuition, our creativity, our emotions.
DICK: And then people try to automate25 those things. We then redefine our humanness again and again. And what it all draws attention to for me is a sort of deep conviction that what it means to be human is both relative and a moving target in history.
MARTIN: Stephanie Dick spoke26 with the hosts of Throughline, Rund Abdelfatah and Ramtin Arablouei. You can hear the whole Throughline episode wherever you get your podcasts.
1 transcript | |
n.抄本,誊本,副本,肄业证书 | |
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2 byline | |
n.署名;v.署名 | |
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3 journalism | |
n.新闻工作,报业 | |
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4 instigated | |
v.使(某事物)开始或发生,鼓动( instigate的过去式和过去分词 ) | |
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5 computing | |
n.计算 | |
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6 conjecture | |
n./v.推测,猜测 | |
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7 precisely | |
adv.恰好,正好,精确地,细致地 | |
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8 decided | |
adj.决定了的,坚决的;明显的,明确的 | |
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9 sentient | |
adj.有知觉的,知悉的;adv.有感觉能力地 | |
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10 grandiose | |
adj.宏伟的,宏大的,堂皇的,铺张的 | |
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11 commemorated | |
v.纪念,庆祝( commemorate的过去式和过去分词 ) | |
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12 plaque | |
n.饰板,匾,(医)血小板 | |
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13 flop | |
n.失败(者),扑通一声;vi.笨重地行动,沉重地落下 | |
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14 capitalism | |
n.资本主义 | |
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15 legacies | |
n.遗产( legacy的名词复数 );遗留之物;遗留问题;后遗症 | |
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16 technological | |
adj.技术的;工艺的 | |
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17 advancement | |
n.前进,促进,提升 | |
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18 culminated | |
v.达到极点( culminate的过去式和过去分词 ) | |
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19 wary | |
adj.谨慎的,机警的,小心的 | |
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20 elite | |
n.精英阶层;实力集团;adj.杰出的,卓越的 | |
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21 judgments | |
判断( judgment的名词复数 ); 鉴定; 评价; 审判 | |
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22 mathematician | |
n.数学家 | |
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23 mathematicians | |
数学家( mathematician的名词复数 ) | |
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24 input | |
n.输入(物);投入;vt.把(数据等)输入计算机 | |
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25 automate | |
v.自动化;使自动化 | |
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26 spoke | |
n.(车轮的)辐条;轮辐;破坏某人的计划;阻挠某人的行动 v.讲,谈(speak的过去式);说;演说;从某种观点来说 | |
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