The Complexities of Auditing Large Language Models: Lessons from Hiring Experiments

A person is giving a presentation to an audience in a conference room. The screen displays "Auditing the Use of AI Models to Guide..." with names and affiliations. The audience is seated at tables, listening attentively.

As AI becomes a fixture in hiring, evaluation, and policy decisions, a new study funded by the Wharton AI & Analytics Initiative offers a rigorous look at a critical question: Do race and gender shape how Large Language Models (LLMs) evaluate people? If so, how can we tell? The answer is, according to Prasanna “Sonny” Tambe, Faculty Co-Director of Wharton Human AI Research, and others, is complex, and the implications matter for every organization deploying LLMs at scale. Here are the key takeaways you need to know from Tambe’s latest research on LLM bias and auditability.Read More

AI, Taste, and the Future of Creativity: David Droga on What’s Worth Saving

Two people in formal attire on a dark blue background; one is talking on a phone, and the other is seated, looking forward.

In this episode of Creative Intelligence, Kartik Hosanagar sits down with advertising legend and Accenture Song CEO David Droga to explore how AI is reshaping creative work — from storytelling and advertising to the very role of agencies. The conversation offers an honest and provocative look at what’s changing, what’s worth preserving, and what makes human creativity irreplaceable.Read More

Reinventing Work in the Age of AI: How Teams, Skills, and Mindsets Must Transform

Two people smiling against a dark blue background, one wearing a black coat and the other in a white shirt.

In Episode 3 of Creative Intelligence, host Kartik Hosanagar is joined by Keith Ferrazzi (author of Never Lead Alone) and Gautam Tambay (CEO of Springboard) to explore what it really means to prepare the workforce for an AI-driven future. Their conversation spans leadership, skill development, team culture, and what’s required to truly redesign work — not just roles.Read More

The People Behind the Machines: What We Learn from the Architects of AI

Two people are engaged in a discussion on stage at a Wharton event. They are seated in chairs, with plants and branded banners in the background.

In the second episode of Creative Intelligence, Kartik is joined by New York Times reporter Cade Metz, who wrote the book “Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World,” in front of a live audience at Wharton’s San Francisco campus. The pair talk about the titans of modern AI, such as Geoffrey Hinton and Demis Hassabis, the role of AI in art and journalism, and the seemingly contradicting viewpoints of today’s AI leaders.Read More

How AI Can (Actually) Transform Education: Key Takeaways from Sal Khan & Kartik Hosanagar

Two people smiling; one is holding a phone, and the other faces forward, both against a dark blue background.

In the pilot episode of Creative Intelligence – a podcast about the intersection of AI, creativity, and human potential – host Kartik Hosanagar, Faculty Co-Director of Wharton Human-AI Research, speaks with Sal Khan, Founder and CEO of Khan Academy, about the role AI plays in education, Khan Academy’s new AI tool, Khanmigo, challenges with AI use in education, and why, even with all of the concerns around AI, Sal remains an optimist. Here are five key takeaways from their conversation. Read More

From Oversight to Advantage: Governing AI with Confidence

A wide shot from above shows audience members watching a panel of speakers on stage at the Wharton AI Governance Workshop

For firms deploying AI, the tech’s upside is real: operational efficiencies, enhanced insights, and new capabilities. However, the risks around bias, data quality, and model accuracy are significant, to say the least. In conversation with the Wharton AI & Analytics Initiative, Kevin Werbach, faculty lead of Wharton’s Accountable AI Lab, and other thought leaders offer insights for how companies can implement and govern AI effectively. Read More