Experts and the public alike anticipate that new technologies could make society more unequal. Baobao Zhang’s research focuses on how mass politics can make it hard for governments to address these inequalities, such as the political challenges of enacting policies to help workers harmed by workplace automation. Zhang also researches the public’s trust in emerging technologies, including artificial intelligence (AI) and innovations to combat Covid-19. This research could help the public reject untrustworthy tech that disproportionately harms ethnic minorities and women, while promoting the use of tech that improves health and social well-being.
- Schmidt Futures AI2050 Early Career Fellow
- Social Science Research Council Just Tech Covid-19 Rapid-Response Grant
- OECD Future of Work Fellowship
- Ethics and Governance of AI Fund Grant
- National Science Foundation Graduate Research Fellowship
Zhang, B., & Dafoe, A. (2020, February). US Public opinion on the governance of artificial intelligence. In Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (pp. 187-193). DOI: 10.1145/3375627.3375827
Zhang, B., Kreps, S., McMurry, N., & McCain, R. M. (2020). Americans’ perceptions of privacy and surveillance in the COVID-19 pandemic. Plos One, 15(12), e0242652. DOI: 10.1371/journal.pone.0242652
Grace, K., Salvatier, J., Dafoe, A., Zhang, B., & Evans, O. (2018). When will AI exceed human performance? Evidence from AI experts. Journal of Artificial Intelligence Research, 62, 729-754. DOI: 10.1613/jair.1.11222
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