Dafoe, A;
Bachrach, Y;
Hadfield, G;
Horvitz, E;
Larson, K;
Graepel, T;
(2021)
Cooperative AI: machines must learn to find common ground.
Nature
, 593
(7857)
pp. 33-36.
10.1038/d41586-021-01170-0.
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Abstract
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.
| Type: | Article |
|---|---|
| Title: | Cooperative AI: machines must learn to find common ground |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1038/d41586-021-01170-0 |
| Publisher version: | https://doi.org/10.1038/d41586-021-01170-0 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10132183 |
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