222 citations · 347 across the 7 of their papers we have counts for
7 papers
Forecasting AI Progress: Evidence from a Survey of Machine Learning Researchers
Baobao Zhang, Noemi Dreksler, Markus Anderljung +4
Advances in artificial intelligence (AI) are shaping modern life, from transportation, health care, science, finance, to national defense. Forecasts of AI development could help im…
Institutionalising Ethics in AI through Broader Impact Requirements
Carina Prunkl, Carolyn Ashurst, Markus Anderljung +3
Turning principles into practice is one of the most pressing challenges of artificial intelligence (AI) governance. In this article, we reflect on a novel governance initiative by…
Ethics and Governance of Artificial Intelligence: Evidence from a Survey of Machine Learning Researchers
Baobao Zhang, Markus Anderljung, Lauren Kahn +3
Machine learning (ML) and artificial intelligence (AI) researchers play an important role in the ethics and governance of AI, including taking action against what they perceive to…
Skilled and Mobile: Survey Evidence of AI Researchers' Immigration Preferences
Remco Zwetsloot, Baobao Zhang, Noemi Dreksler +4
Countries, companies, and universities are increasingly competing over top-tier artificial intelligence (AI) researchers. Where are these researchers likely to immigrate and what a…
Social and Governance Implications of Improved Data Efficiency
Aaron D. Tucker, Markus Anderljung, Allan Dafoe
Many researchers work on improving the data efficiency of machine learning. What would happen if they succeed? This paper explores the social-economic impact of increased data effi…
U.S. Public Opinion on the Governance of Artificial Intelligence
Baobao Zhang, Allan Dafoe
Artificial intelligence (AI) has widespread societal implications, yet social scientists are only beginning to study public attitudes toward the technology. Existing studies find t…