Managing extreme AI risks amid rapid progress
Yoshua Bengio(Canadian Institute for Advanced Research), Sören Mindermann(University of Oxford), Stuart Russell(University of California, Berkeley), Dawn Song(University of California, Berkeley), Yuval Noah Harari(Hebrew University of Jerusalem), Ashwin Acharya(RAND Corporation), David Krueger(University of Cambridge), Trevor Darrell(University of California, Berkeley), Jan Brauner(RAND Corporation), Frank Hutter(University of Freiburg), Sheila A. McIlraith(University of Toronto), Philip H. S. Torr, Pieter Abbeel(University of California, Berkeley), Tegan Maharaj(University of Toronto), Atılım Güneş Baydin(University of Oxford), Andrew Chi-Chih Yao(Tsinghua University), Shai Shalev‐Shwartz(Hebrew University of Jerusalem), Xue Lan(Tsinghua University), Qiqi Gao(East China University of Political Science and Law), Ya-Qin Zhang(Tsinghua University), Geoffrey E. Hinton(University of Toronto), Daniel Kahneman(Princeton University), Gillian K. Hadfield(University of Toronto), Jeff Clune(Canadian Institute for Advanced Research), Anca D. Dragan(University of California, Berkeley)
Cited by 264
Related Papers
How transferable are features in deep neural networks?
|arXiv (Cornell University)|2014|3.5k
Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
|Unknown|2015|3.3k
Sequential Model-Based Optimization for General Algorithm Configuration
|Lecture notes in computer science|2011|2.4k
Scientific discovery in the age of artificial intelligence
|Nature|2023|1.6k
Understanding Neural Networks Through Deep Visualization
|arXiv (Cornell University)|2015|1.5k