AI biases "are harder to hide" than human biases, says Wharton's Kartik Hosanagar
Episode Description
In November 2024, as part of the Wharton School's "Policies That Work" series, Wharton professor Kartik Hosanagar shared these thoughts on why AI biases are concerning, but to a lesser extent than human biases.
This video is edited from his discussion with two other Wharton professors and AI experts, "AI, Technology, and the Role of Regulation: How to Regulate for Responsible Innovation."
----- The Wharton School of the University of Pennsylvania is committed to sharing its intellectual capital through Knowledge at Wharton, the school’s online business analysis journal.
Launched in 1999, Knowledge at Wharton offers free access to:
- Articles, podcasts, and videos highlighting Wharton faculty research and analysis of current business trends - Interviews with book authors from Wharton School Press - In-depth series of curated content like Wharton Executive Education’s Nano Tools for Leaders - A searchable database of more than 10,000 articles covering all aspects of business - A weekly newsletter that delivers Knowledge at Wharton insights directly to your inbox
Visit the Knowledge at Wharton homepage: https://whr.tn/3qUpSBE Subscribe to the Knowledge at Wharton YouTube channel: https://whr.tn/3DEAgAU
Brief Summary
AI biases are concerning due to their scale but can be corrected more easily than human biases.
Key points
- Human vs AI Biases. Human decision makers can hide their biases, while AI biases are more transparent.
- The Scale of AI Biases. AI biases can affect millions, unlike human biases which impact fewer lives.

