Matthew Gentzkow, Stanford economist, discusses a recent paper that explores to what extent rising affective polarization has seen increases in the U.S. and other developed democracies.
Can we observe whether artificial intelligence is destroying jobs, by, for instance, replacing humans for some tasks, or creating jobs, perhaps by increasing productivity as it provides humans with the tools to do more tasks? MIT economist Daron Acemoglu summarizes research that he has conducted with his colleagues to answer this question.
Stanford economist Matthew Gentzkow shares findings from research that explores how polarization has evolved during the coronavirus pandemic.
Introduction to several recent articles by TAP scholars that explore the impact of artificial intelligence technologies on the future of work, racial and gender equity, privacy, and administrative accountability.
Stanford Economic Professor Nicholas Bloom shares findings from his research data about the future of working from home as COVID-19 restrictions begin to lift.
In an article written for Boston Review, MIT economics professor Daron Acemoglu examines the current impact of AI technologies and automation on the economy, society, and democracies; and provides a course of action for redirecting “AI research toward a more productive path.”
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In this second part of Professor Théodore Christakis and Mathias Becuywe’s article delving into the EU’s draft proposal for artificial intelligence regulation, the authors focus on the rules proposed to regulate the use of remote biometric identification (RBI) in publicly accessible spaces for the purpose of law enforcement.
In this first of a two-part article delving into the EU’s draft proposal for artificial intelligence regulation, Professor Théodore Christakis and his coauthor Mathias Becuywe, both with University Grenoble Alpes,
present the provisions of the draft AI Regulation that relate to remote biometric identification, such as facial recognition, gait, or voice recognition.
In her new book, Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence, Professor Kate Crawford, USC Annenberg School of Communication, offers a material and political perspective on what it takes to make AI and how it centralizes power.