Artificial intelligence surrounds us, but there’s still no computer that can do most of what humans can do — yet. SN100
— might learn to know what we really need, or to push our buttons and upsell us on extraneous products.
There are also social, political and legal questions about how to manage technology in society.
Something like Asimov’s three laws won’t save us from robots that hurt us while trying to help us. And even if the list were extended to a million laws, the letter of a law is not identical to its spirit. One possible solution is what’s called inverse reinforcement learning, in which computers might learn to decipher what we really value based on our behavior.
“We try to get students to think about values and value trade-offs,” Grosz says. Two things have struck her. The first is the difficulty students have with problems that lack right answers and require arguing for particular choices. The second is, despite their frustration, “how much students care about this set of issues,” Grosz says.
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