From Hype to Habit: How AI Is Actually Transforming Business

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AI is moving at a blistering pace, with new developments in models and their impact on the business world, it can be hard to keep up. Luckily, we have experts like Ritcha Ranjan, Senior Vice President of Product at Expedia Group and Advisory Board Member with the Wharton AI & Analytics Initiative, to help us make sense of it all. In a recent interview with Eric Bradlow, Vice Dean of AI & Analytics at Wharton, the pair helped make sense of the current state of AI. Here are the key takeaways from their conversation.Read More

WAIAI Welcomes New Appointments for 2025-2026 Academic Year

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The Wharton AI & Analytics Initiative (WAIAI) is proud to welcome a distinguished group of Executives in Residence, Senior Fellows, and Visiting Scholars for the new academic year. These leaders bring diverse expertise spanning academia, industry, and public service, enriching WAIAI’s mission to advance AI and analytics in business, research, education, and society. Together, they will provide thought leadership, mentor students, collaborate on cutting-edge research, and strengthen the bridge between academic discovery and real-world application.Read More

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

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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

Wharton AI & Analytics Accelerator Helps RxSense Tackle AI Challenges in Healthcare

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Rick Bates, WG’96, CEO of RxSense, joined the Wharton AI & Analytics Accelerator to explore new solutions to two high-priority challenges: automating long-range drug pricing forecasts and reverse-engineering pharmacy benefit plans. Through the 8-week collaboration, RxSense gained fresh modeling approaches, actionable AI frameworks, and a clearer path to full automation—outcomes that are now directly shaping the company’s internal analytics strategy and future hiring. The project exemplifies how companies can leverage the Accelerator to solve complex problems and accelerate innovation.Read More

Fighting Dyslexia, Breaking Chatbots: Inside the Winning Projects of Wharton’s 2025 Hack-AI-thon

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The second annual Wharton Hack-AI-thon challenged Penn students to push the boundaries of artificial intelligence — and they delivered. From helping educators support students with dyslexia to convincing a medieval knight made of cardboard to spill company secrets, this year’s winning teams took wildly different paths to AI excellence.Read More

From Oversight to Advantage: Governing AI with Confidence

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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