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I am Professor at the School of Communications at Howard University. My works focus on effects of emerging AI technologies in intersection with social and policy problems. Currently, my research looks at how the combination of AI, algorithm, and personal data contributes to social and racial inequalities. My first book The Future of Digital Surveillance (University of Michigan Press, 2021) examines AI in its perpetual appetite for data surveillance. I was an inaugural 2022-23 BKC, RSM Visiting Professor, at Harvard; received several external grants from Facebook, Scripps Foundation, ANA, Urban Comm. Foundation, and more. The most recent grant is from Mozilla Foundation, as I study and teach how to debias AI modeling. I was previously a Research Fellow at the Center for Information Technology Policy at Princeton University. I completed my doctorate at the University of Michigan.


Community

Internet Policy Review

Let me tell you, ChatGPT-like AI will not change our world

BKC Rebooting Social Media Visiting Scholar Yong Jin Park cautions against hype around generative AI, warning that celebrations and fears around the technology are both overblown.

Mar 17, 2023
The Journal of Computer-Mediated Communication

How do people react to AI failure? Automation bias, algorithmic aversion, and perceived controllability

In a new paper, RSM Visiting Scholar Yong Jin Park and co-author S. Mo Jones-Jang explore the response of human users to AI failures, and how thoseā€¦

Nov 22, 2022
Poetics

Digital assistants: Inequalities and social context of access, use, and perceptual understanding

Yong Jin Park, RSM Visiting Scholar, analyzes the digital inequality in AI.  "This study focuses on digital divide in the context of access, use, and perceptualā€¦

Sep 15, 2022

Events

Mar 29, 2023 @ 12:30 PM

March 29: Technology and the Public Interest

Haochen Sun will discuss his new book with Jon Penney and Yong Jin Park...