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Wednesday, May 8, 2024

CMU Supports NIST Guidelines on Red Teaming for Generative AI

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Marvin Goodfriend, Carnegie Mellon University | Carnegie Mellon University

Marvin Goodfriend, Carnegie Mellon University | Carnegie Mellon University

Carnegie Mellon University’s Block Center for Technology and Society and K&L Gates Initiative in Ethics and Computational Technologies released a white paper supporting national efforts to ensure the safety, security, and trustworthiness of AI systems. The white paper followed a workshop on red teaming for generative AI in response to an executive order by President Joe Biden.

Theresa Mayer, CMU’s vice president for research, expressed the university's commitment to supporting the development of AI guidelines, stating, "Carnegie Mellon is proud to continue supporting this important work in providing the foundation of our nation's AI strategy as this technology continues to be implemented in the public sector."

Hoda Heidari, the K&L Gates Career Development Assistant Professor in Ethics and Computational Technologies at CMU, highlighted the significance of AI red teaming in addressing concerns about generative AI models. Heidari emphasized the importance of identifying and mitigating societal risks associated with these models through red teaming.

The workshop organized by Heidari discussed various aspects of AI red teaming, including research, industry practices, and policy implications. He noted that despite the central role of AI red teaming in recent discussions, there are still questions about its precise meaning, relationship to conventional red teaming practices, and its role in future evaluation and regulation of generative AI.

In addition to the white paper summary, the event also featured video recordings available on the Block Center's YouTube channel for further insights into the discussions on red teaming for generative AI.

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