Trustworthy AI for National Security – Kathleen Fisher – PSW #805
AI/ML is providing significant benefits in a wide range of application domains but also provides adversaries with a new attack surface. Learn about DARPA's efforts to help evaluate AI/ML and work towards a trust model that will allow us to use these valuable tools safely.
Segment Resources:
- Identifying and Mitigating the Security Risks of Generative AI paper (co-authored by Kathleen): https://arxiv.org/abs/2308.14840
- DARPA’s AI Forward, which will include AI Exploration opportunities and resource material: https://www.darpa.mil/work-with-us/ai-forward
- I2O webpage, important to include because this hosts links to many of the programs Dr. Fisher will discuss: https://www.darpa.mil/i2o
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Guest
Dr. Kathleen Fisher leads program managers in DARPA’s Information Innovation Office (I2O) in the development of programs, technologies, and capabilities to ensure information advantage for the United States and its allies, and coordinates this work across the Department of Defense and U.S. government. She is an AAAS fellow, an ACM fellow, and a Hertz Foundation fellow.
This is Fisher’s second tour at DARPA, having previously served as a program manager in I2O from 2011 to 2014. As a program manager, she conceptualized, created, and executed programs in high-assurance computing and machine learning, including Probabilistic Programming for Advancing Machine Learning (PPAML), making building ML applications easier. She was also a co-author of a recent paper about the threats posed by large language models. She previously the deputy office director for I2O from October 2021 to April 2022. Fisher joined DARPA from Tufts University, where she was a professor in the Department of Computer Science, and served as chair of the department from 2016 to 2021. Earlier in her career, she was a principal member of the technical staff at AT&T Labs Research.
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