Cooperative AI: machines must learn to find common ground
2021•nature.com
Artificial-intelligence assistants and recommendation algorithms interact with billions of
people every day, influencing lives in myriad ways, yet they still have little understanding of
humans. Self-driving vehicles controlled by artificial intelligence (AI) are gaining mastery of
their interactions with the natural world, but they are still novices when it comes to
coordinating with other cars and pedestrians or collaborating with their human
operators.The state of AI applications reflects that of the research field. It has long been …
people every day, influencing lives in myriad ways, yet they still have little understanding of
humans. Self-driving vehicles controlled by artificial intelligence (AI) are gaining mastery of
their interactions with the natural world, but they are still novices when it comes to
coordinating with other cars and pedestrians or collaborating with their human
operators.The state of AI applications reflects that of the research field. It has long been …
Artificial-intelligence assistants and recommendation algorithms interact with billions of people every day, influencing lives in myriad ways, yet they still have little understanding of humans. Self-driving vehicles controlled by artificial intelligence (AI) are gaining mastery of their interactions with the natural world, but they are still novices when it comes to coordinating with other cars and pedestrians or collaborating with their human operators.
The state of AI applications reflects that of the research field. It has long been steeped in a kind of methodological individualism. As is evident from introductory textbooks, the canonical AI problem is that of a solitary machine confronting a non-social environment. Historically, this was a sensible starting point. An AI agent—much like an infant—must first master a basic understanding of its environment and how to interact with it.
nature.com
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