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Penn computer scientists prove that people can be trained to tell the difference between AI-generated and human-written text. Their new paper debuts the results of the largest-ever human study on AI detection.
A new PNAS study shows that statistics released by the U.S. Census Bureau can be reverse engineered to reveal protected information about individual respondents.
Penn Engineering’s Linh Thi Xuan Phan and a team of researchers have identified a critical security flaw in the networking approach used in aerospace and other safety-critical systems.
In the group UPGRADE, students take an interdisciplinary approach to game creation.
Jing (Jane) Li of the School of Engineering and Applied Science and Li Shen of the Perelman School of Medicine have been named distinguished members of the Association for Computing Machinery.
Vijay Kumar of the School of Engineering and Applied Science and Katalin Karikó and Drew Weissman of the Perelman School of Medicine were honored with the recognition.
Kevin Johnson, who has appointments in the Perelman School of Medicine and the School of Engineering and Applied Science, and a secondary appointment in the Annenberg School for Communication, will become the David L. Cohen University Professor.
A new engineering study examines how social media bots disguise themselves to interact with genuine accounts on social media platforms, while suggesting a new strategy for how to detect them.
The police killing of George Floyd took an unprecedented toll on the emotional and mental health of Black Americans, according to a new study by LDI senior fellow Sharath Guntuku.
Penn’s Online Master of Computer and Information Technology degree allows professionals like Wu the opportunity to switch careers without restarting their education from the beginning.
At a congressional hearing, Chris Callison-Burch of the School of Engineering and Applied Science testified on the capabilities and transformative impact of generative AI technology.
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Chris Callison-Burch of the School of Engineering and Applied Science and his students are proving that AI is still catching up to how human brains work.
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At a congressional hearing, Chris Callison-Burch of the School of Engineering and Applied Science testified on the capabilities and transformative impact of generative AI technology.
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Chris Callison-Burch of the School of Engineering and Applied Science explains the processes by which AI chatbots learn and make mistakes.
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Ryan Baker of the Graduate School of Education is incorporating the judicious use of ChatGPT into his courses.
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Chris Callison-Burch of the School of Engineering and Applied Science and colleagues share the results of a study which examined how humans can detect AI writing.
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