Managing extreme AI risks amid rapid progress
Preparation requires technical research and development, as well as adaptive, proactive governance.
Main Authors: | Bengio, Y, Hinton, G, Yao, A, Song, D, Abbeel, P, Darrell, T, Harari, YN, Zhang, Y-Q, Xue, L, Shalev-Shwartz, S, Hadfield, G, Clune, J, Maharaj, T, Hutter, F, Baydin, AG, McIlraith, S, Gao, Q, Acharya, A, Krueger, D, Dragan, A, Torr, P, Russell, S, Kahneman, D, Brauner, J, Mindermann, S |
---|---|
Format: | Journal article |
Language: | English |
Published: |
American Association for the Advancement of Science
2024
|
Similar Items
-
Managing extreme AI risks amid rapid progress
by: Bengio, Y, et al.
Published: (2023) -
The self-extracted pacemaker system
by: Bridget McIlraith, IBHRE, CCDS, et al.
Published: (2024-09-01) -
Alpha MAML: Adaptive model-agnostic meta-learning
by: Behl, H, et al.
Published: (2019) -
KL guided domain adaptation
by: Nguyen, AT, et al.
Published: (2021) -
KL guided domain adaptation
by: Nguyen, AT, et al.
Published: (2021)