Our phones, our cars, our televisions, our homes: they’re all getting smarter. Artificial intelligence is already inextricably woven into everyday life, and its impact will only grow in the coming years. But while this development inspires much discussion among members of the scientific community, public opinion on artificial intelligence has remained relatively unknown.
Artificial Intelligence: American Attitudes and Trends, a report published earlier in January by the Center for the Governance of AI, explores this question. Its authors relied on an in-depth survey to analyze American attitudes towards artificial intelligence, from privacy concerns to beliefs about U.S. technological superiority. Some of their findings–most Americans, for example, don’t trust Facebook–were unsurprising. But much of their data reflects trends within the American public that have previously gone unnoticed.
This month Ariel was joined by Baobao Zhang, lead author of the report, to talk about these findings. Zhang is a PhD candidate in Yale University’s political science department and research affiliate with the Center for the Governance of AI at the University of Oxford. Her work focuses on American politics, international relations, and experimental methods.
In this episode, Zhang spoke about her take on some of the report’s most interesting findings, the new questions it raised, and future research directions for her team. Topics discussed include:
-Demographic differences in perceptions of AI
-Discrepancies between expert and public opinions
-Public trust (or lack thereof) in AI developers
-The effect of information on public perceptions of scientific issues