Through
4/26
Student interns worked this summer with the Davis Lab in the Penn Epilepsy Center to research improvements to epilepsy diagnosis using the tools of machine learning and network analysis.
A collaboration with nursing, engineering, and the medical device provider will develop new technologies to assist clinicians via “safe AI.”
Wharton School announces new AI for Business initiative. Led by AI expert and Wharton professor Kartik Hosanagar, AI for Business will enable students, faculty, and industry partners to explore the next phase of digital transformation.
A forthcoming article co-authored by Penn Law’s Cary Coglianese explores algorithmic governance, examining how machine-learning algorithms are currently used by federal and state courts and agencies to support their decision-making.
For Penn synthetic biologist César de la Fuente and his team, these concepts aren’t some far-off ideal. They’re projects already in progress, and they have huge real-world implications should they succeed.
“The Ethical Algorithm” describes how algorithms can inadvertently share private information or perpetuate racial and gender biases, and offers principled solutions that can help researchers design the next generation of socially-aware algorithms.
Experts from Penn share their perspectives on the role of advanced algorithms and AI in health care and what the future holds for digital health technologies.
Artificial intelligence has permeated many corners of life, from consumer purchasing and media consumption to health care—sometimes in ways we don’t even know.
In a podcast conversation, Penn professors Michael Kearns, Aaron Roth, and Lisa Miracchi discuss the ethics of artificial intelligence.
Insights into how computers learn, the current challenges of artificial intelligence research, and what the future holds for how machines might shape society in the future.
Benjamin Lee of the School of Engineering and Applied Science says that hardware and infrastructure costs are growing at high rates for generative AI.
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David Hoffman of Penn Carey Law says that “generative interpretation” can replace the messy and expensive way lawyers currently hash out the meaning of words in legal agreements, using dictionaries and Latin canons.
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Chris Callison-Burch of the School of Engineering and Applied Science says that auto-regressive generation can make it difficult for language learning models to perform fact-based or symbolic reasoning.
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Sonny Tambe of the Wharton School says that AI is a useful tool for most people, not an existential threat.
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Mary Ritchie has been named the vice dean of artificial intelligence and computing at the Perelman School of Medicine. Mitchell Schnall has been named the first senior vice president for data and technology solutions at the University of Pennsylvania Health System.
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Ethan Mollick of the Wharton School is teaching his students to use and understand the capabilities of generative AI.
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