Diagnose-a-thon aims to uncover the power and potential dangers of using generative AI for medical inquiries. During the virtual event, participants will compete for prizes ranging from $250 to $750 by identifying large language model prompts that produce AI-generated diagnoses that are either accurate or misleading and harmful.

Diagnose-a-thon aims to uncover the power and potential dangers of using generative AI for medical inquiries. During the virtual event, participants will compete for prizes ranging from $250 to $750 by identifying large language model prompts that produce AI-generated diagnoses that are either accurate or misleading and harmful.

Diagnose-a-thon aims to uncover the power and potential dangers of using generative AI for medical inquiries. During the virtual event, participants will compete for prizes ranging from $250 to $750 by identifying large language model prompts that produce AI-generated diagnoses that are either accurate or misleading and harmful.

Diagnose-a-thon aims to uncover the power and potential dangers of using generative AI for medical inquiries. During the virtual event, participants will compete for prizes ranging from $250 to $750 by identifying large language model prompts that produce AI-generated diagnoses that are either accurate or misleading and harmful.

Diagnose-a-thon aims to uncover the power and potential dangers of using generative AI for medical inquiries. During the virtual event, participants will compete for prizes ranging from $250 to $750 by identifying large language model prompts that produce AI-generated diagnoses that are either accurate or misleading and harmful.

Diagnose-a-thon aims to uncover the power and potential dangers of using generative AI for medical inquiries. During the virtual event, participants will compete for prizes ranging from $250 to $750 by identifying large language model prompts that produce AI-generated diagnoses that are either accurate or misleading and harmful.

Penn State’s Consortium on Moral Decision-Making, in partnership with the Center for Socially Responsible AI and the University Libraries, is hosting a hybrid conference on Empathy, Morality, & AI. Attendees can participate in person or via Zoom. 

Sponsored by the Penn State Center for Socially Responsible AI (CSRAI), the inaugural Fake-a-thon challenges participants to generate fake news stories and better understand the impact of generative AI. The Fake-a-thon will be held April 1-5 and consists of two distinct stages: Fake News Submissions and Fake News Detection.

View full event instructions on the Fake-a-thon webpage.

Sponsored by the Penn State Center for Socially Responsible AI (CSRAI), the inaugural Fake-a-thon challenges participants to generate fake news stories and better understand the impact of generative AI. The Fake-a-thon will be held April 1-5 and consists of two distinct stages.

View full event instructions on the Fake-a-thon webpage.

Sponsored by the Penn State Center for Socially Responsible AI (CSRAI), the inaugural Fake-a-thon challenges participants to generate fake news stories and better understand the impact of generative AI. The Fake-a-thon will be held April 1-5 and consists of two distinct stages.

View full event instructions on the Fake-a-thon webpage.

Sponsored by the Penn State Center for Socially Responsible AI (CSRAI), the inaugural Fake-a-thon challenges participants to generate fake news stories and better understand the impact of generative AI. The Fake-a-thon will be held April 1-5 and consists of two distinct stages.

View full event instructions on the Fake-a-thon webpage.

Sponsored by the Penn State Center for Socially Responsible AI (CSRAI), the inaugural Fake-a-thon challenges participants to generate fake news stories and better understand the impact of generative AI. The Fake-a-thon will be held April 1-5 and consists of two distinct stages.

View full event instructions on the Fake-a-thon webpage.

Join Qingyun Wu, assistant professor at the Penn State College of Information Sciences and Technology, for an upcoming talk as part of CSRAI's AI for Social Impact Seminar Series. This lecture is free and open to the Penn State community.

Sponsored by the Penn State Center for Socially Responsible AI (CSRAI), Bias-a-thon aims to expose biases in current-day AI tools. During the virtual event, participants will compete for prizes ranging from $250 to $1,000 by identifying prompts that lead popular generative AI tools to produce biased or stereotype-reinforcing outputs. 

Sponsored by the Penn State Center for Socially Responsible AI (CSRAI), Bias-a-thon aims to expose biases in current-day AI tools. During the virtual event, participants will compete for prizes ranging from $250 to $1,000 by identifying prompts that lead popular generative AI tools to produce biased or stereotype-reinforcing outputs. 

Sponsored by the Penn State Center for Socially Responsible AI (CSRAI), Bias-a-thon aims to expose biases in current-day AI tools. During the virtual event, participants will compete for prizes ranging from $250 to $1,000 by identifying prompts that lead popular generative AI tools to produce biased or stereotype-reinforcing outputs. 

Sponsored by the Penn State Center for Socially Responsible AI (CSRAI), Bias-a-thon aims to expose biases in current-day AI tools. During the virtual event, participants will compete for prizes ranging from $250 to $1,000 by identifying prompts that lead popular generative AI tools to produce biased or stereotype-reinforcing outputs. 

Serena Wang, a doctoral student at the University of California, Berkeley, will deliver a talk as part of CSRAI's Young Achievers Symposium.

Christine Herlihy, a doctoral student at the University of Maryland, College Park, will deliver a talk as part of CSRAI's Young Achievers Symposium.

Lily Xu, a doctoral candidate at Harvard University, will deliver a talk as part of CSRAI's Young Achievers Symposium.

Chinasa T. Okolo, a doctoral candidate in the Department of Computer Science at Cornell University, will deliver a talk as part of CSRAI's Young Achievers Symposium.

Chun Kai Ling, a doctoral student at Carnegie Mellon University, will deliver a talk as part of CSRAI's Young Achievers Symposium.

Varun Chandola, Program Manager at National Science Foundation, will present a Penn State AI Distinguished Talk, "Towards a Robust Artificial Intelligence Innovation Ecosystem." This event is part of the Penn State AI Hub Talks series, organized by the Penn State AI Hub.

Join Harsh Nisar, Lead Data Scientist with the Government of India's Ministry of Rural Development for an upcoming talk in the AI for Social Impact Seminar Series. This lecture is free and open to the Penn State community.

Umang Bhatt, a doctoral candidate in the Machine Learning Group at the University of Cambridge, will deliver a talk as part of CSRAI's Young Achievers Symposium.