Managing extreme AI risks amid rapid progress
成果类型：
Editorial Material
署名作者：
Bengio, Yoshua; Hinton, Geoffrey; Yao, Andrew; Song, Dawn; Abbeel, Pieter; Darrell, Trevor; Harari, Yuval Noah; Zhang, Ya-Qin; Xue, Lan; Shalev-Shwartz, Shai; Hadfield, Gillian; Clune, Jeff; Maharaj, Tegan; Hutter, Frank; Baydin, Atilim Gunes; McIlraith, Sheila; Gao, Qiqi; Acharya, Ashwin; Krueger, David; Dragan, Anca; Torr, Philip; Russell, Stuart; Kahneman, Daniel; Brauner, Jan; Mindermann, Soren
署名单位：
Mila Quebec Artificial Intelligence Institute; Universite de Montreal; University of Toronto; Vector Institute for Artificial Intelligence; Tsinghua University; University of California System; University of California Berkeley; Hebrew University of Jerusalem; Tsinghua University; Tsinghua University; Hebrew University of Jerusalem; University of Toronto; University of Toronto; University of British Columbia; University of Toronto; University of Freiburg; University of Oxford; East China University Political Science & Law; RAND Corporation; University of Cambridge; University of Oxford; Princeton University
刊物名称：
SCIENCE
ISSN/ISSBN：
0036-9980
DOI：
10.1126/science.adn0117
发表日期：
2024-05-24
页码：
842-845
关键词：
摘要：
Preparation requires technical research and development, as well as adaptive, proactive governance