AI & Machine Learning

The Future Promise and Risk of Generative AI in Clinical Settings

A panel discussion on generative AI, featuring four speakers engaged in conversation. A banner for the Leonard Davis Institute of Health Economics is visible, as well as an audience in the foreground.

Generative AI has the potential to revolutionize healthcare, enhancing diagnostics and enabling more personalized patient care. However, experts at the recent Penn LDI AI in Health Care Conference highlighted significant ethical and practical challenges, including the need for transparency, fairness, and regulation in clinical AI applications. Hamsa Bastani, Faculty Co-Lead of the Wharton Healthcare Analytics Lab, emphasized rigorous testing to reduce bias and ensure AI-driven tools truly improve patient outcomes.…Read More

AI Chatbots Seem as Ethical as a New York Times Advice Columnist

Digital Chatbot And Notifications Message Alert Screen Icon And Sent To Recipient On Laptop, Artificial Intelligence, Innovation And Technology.

(Outlet: Scientific American) Large language models lack emotion and self-consciousness, but they appear to generate reasonable answers to moral quandaries. Professor Christian Terwiesch, Co-Director of the Mack Institute of Innovation Management, spoke with Scientific American about his research on AI and its ability to provide input on ethical decision-making.…Read More

The Wharton School Makes Strategic Investment in Artificial Intelligence Research and Teaching

A modern building with geometric designs and text overlay reading "Wharton University of Pennsylvania AI & Analytics Initiative."

The Wharton School of the University of Pennsylvania today announced a major investment to drastically scale its research and teaching capabilities in the areas of artificial intelligence and data science. Under the umbrella of the new Wharton AI & Analytics Initiative, the interdisciplinary endeavor will encompass curricular enhancements, investments to advance new research, collaboration between industry and academia, and open-source resources to help shape the direction of generative AI.…Read More

How to Improve AI Fairness in an Unfair World

neutral artificial intelligence Scales of Justice in the Digital World Digital scale illustration on futuristic network background. Fairness and equality in ethics

Hamsa Bastani, Faculty Co-Lead at the Wharton Healthcare Analytics Lab, is co-author of a recent research paper, Rethinking Fairness for Human-AI Collaboration, with Haosen Ge, Data Scientist, Analytics at Wharton and Osbert Bastani, assistant professor in the Department of Computer and Information Science at the University of Pennsylvania.…Read More

We’re Focusing on the Wrong Kind of AI Apocalypse

An abstract illustration of a humanoid figure with a digital interface and robotic arms, symbolizing artificial intelligence and automation.

(Outlet: Time) Ethan Mollick, Associate Professor at the Wharton School and Academic Director, Wharton Interactive, challenges the apocalyptic focus on AI risks and emphasizes the immediate threats of misinformation, deep fakes, and AI proliferation. He highlights the need for organizations to make informed decisions about AI’s impact on work and learning, emphasizing it requires thoughtful management and integration to avoid potential negative outcomes.…Read More