News from AI & Analytics at Wharton
Wharton AI & Analytics Initiative Welcomes New Advisory Board Members
The Wharton AI & Analytics Initiative (WAIAI) is pleased to announce the addition of seven distinguished leaders to our Advisory Board: Rick Bates, WG’96, Dr. Nisha Chakravarty, C01, W01, GRD22, Brian Householder, Rishi Jain, WG’04, Steven Sarracino, WG’06, Marvin Tien, WG’04, and Lin Yuan, WG’22. Read More
Lessons from the Responsible AI & Analytics for Insurance Workshop
On June 9, 2026, the Wharton School and UNSW Business School hosted the Responsible AI & Analytics for Insurance Workshop at Jon M. Huntsman Hall. The workshop brought together leaders from academia, industry, and regulation to explore how AI is reshaping the future of insurance — examining critical issues from fairness and transparency in pricing ...Read More
EU AI Act Update: The Digital Omnibus and the Realities of AI Governance
The European Union’s AI Act was originally framed as the world’s first comprehensive attempt to regulate artificial intelligence (AI) through the lens of fundamental rights, human oversight, and trustworthy AI. Increasingly, however, the law is evolving into something else: a form of industrial policy. Increasingly, however, the law is being forced to confront the institutional ...Read More
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Knowledge at Wharton
Research and Insights
Why Companies Are Rethinking the Rush to Implement AI
Wharton professor Santiago Gallino explains why AI falls short and human judgment still matters.Read More
Navigating Competition and Collaboration in the AI Race
Associate professor of management explains how healthy competition can evolve into destructive rivalry, why collaboration often coexists with competition, and what the AI industry can learn from these dynamics.Read More
Why ‘AI Ethics’ Is a Misnomer — and Why That Matters for Business
Wharton’s Cornelia C. Walther explains how the language around “AI ethics” can create confusion and misplace accountability.Read More
How Basic Persuasion Can Bypass AI Safeguards
New Wharton research suggests AI models may be vulnerable to many of the same persuasion tactics that influence people.Read More
