Amy Gutmann Hall: The New Home for Data Science and AI at Penn

Located on the NE corner of 34th and Chestnut Streets, Amy Gutmann Hall brings together Penn's efforts to harness AI and data science to advance interdisciplinary teaching and research. The building is the new home for the Warren Center, and represents a “new chapter in Penn’s leadership in the AI and data science revolution."

Introducing the Penn AI Council

The newly established Penn AI Council consists of five faculty members collaborating to enhance visibility and impact of AI research across Penn. Members include Warren Center affiliates René Vidal, Eric Bradlow, Bhuvnesh Jain, and Duncan Watts.

• Communication
• Computer and Information Science
• Electrical and Systems Engineering
• Marketing
• Physics and Astronomy
• Radiology

Pennsylvania’s AI Advisory Committee

Cary Coglianese has been appointed to the Advisory Committee on Artificial Intelligence by the Pennsylvania Joint State Government Commission. The committee, established to explore the impact and potential of AI in Pennsylvania, comprises experts from academia, industry, and government.

• Law
• Political Science

Should We Trust AI? A Penn Expert Weighs In

As AI has become a part of our everyday lives, so has existential dread about its consequences. Philadelphia Magazine reached out to Penn professor Chris Callison-Burch to quell their fears.

• Computer and Information Science

How Can We Meet the AI Moment?

Eric Bradlow discusses the launch of the new Wharton AI & Analytics Initiative and how generative AI can be leveraged in education, business, and society to enhance our lives on this episode of the Knowledge at Wharton Podcast.

• Marketing

Investing in Innovation: Philanthropy Powers AI Education at Penn Engineering

How did Penn Engineering become a leader in AI? It began with the support of philanthropically minded alumni and friends of Penn Engineering like Rajendra Singh, Harlan Stone and Warren Center Founding Donor Fred Warren.

• Computer and Information Science

Model Disgorgement: The Key to Fixing AI Bias and Copyright Infringement?

In a recent paper in Proceedings of the National Academy of Sciences (PNAS), Michael Kearns and three fellow researchers at Amazon share their perspective on the potential for model disgorgement to solve some of the issues facing AI models today.

• Computer and Information Science

Edgar Dobriban Wins Peter Gavin Hall IMS Early Career Prize

Edgar Dobriban has received the 2024 Peter Gavin Hall IMS Early Career Prize. Dobriban receives the award “for deep, fundamental, and wide-ranging contributions to mathematical statistics and statistical machine learning."

• Statistics

How to Improve AI Fairness in an Unfair World

Designers of artificial intelligence (AI) systems are still figuring out how to emulate — and improve on — human decision-making. One big challenge: how to support human decision-making while also maintaining fairness and objectivity. This was the topic of a recent MIT IDE seminar presented by Hamsa Bastani.

• Operations Information and Decisions

The Science of Designing Ethical Algorithms: Michael Kearns and Aaron Roth on Ethical AI

In 2019, Michael Kearns and Aaron Roth published The Ethical Algorithm: The Science of Socially Aware Algorithm Design. Rather than rehash the social ills caused by AI-powered systems, Kearns and Roth’s book enumerates technical improvements to the algorithms that increasingly govern our lives.

• Computer and Information Science