Yong Jin Park

Visiting Scholar

Yong Jin Park is Professor at the School of Communications at Howard University. He works on the effects of emerging technologies in intersection with social and policy problems. Currently, his research focuses on the areas of AI, algorithm, personal data, and digital inequalities. His recent book is The Future of Digital Surveillance (University of Michigan Press, 2021). He was previously a Research Fellow at the Center for Information Technology Policy at Princeton University. He completed his doctorate at the University of Michigan.

Twitter: @YongJinPark5

Associated Works

April 28, 2023

How we can create the global agreement on generative AI bias: lessons from climate justice

Visiting Scholar Yong Jin Park argues that the climate justice movement offers a roadmap for establishing baseline ethical standards when it comes to bias in generative AI outputs.

March 17, 2023

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

Visiting Scholar Yong Jin Park's opinion in the Internet Policy Review soberly assesses the likely impacts of current generative AI models.

March 28, 2023

The Challenge of Next-Generation AI

Join us on March 28th as Dr. W. Russell Neuman discusses his new book, Evolutionary Intelligence: How Technology Will Make Us Smarter. Moderated by Visiting Scholar Yong Jin Park. RSVP required.

November 17, 2022

On Algorithmic Personalization

Visiting Scholar Yong Jin Park and coauthor Jeong Nam Kim argue that debunking the false logic of "the more data, the better AI personalization" is the first step toward understanding where how to approach data protection regulation.

November 11, 2022

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

Visiting Scholar Yong Jin Park and co-author S. Mo Jones-Jang test psychological mechanisms that explain human responses to AI-driven failures.

September 15, 2022

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

Visiting scholar Yong Jin Park and colleagues argue that inequalities relating to digital assistants are both material and socio-cultural.