Machine Learning for Safety-Critical Applications: Opportunities, Challenges, and a Research Agenda (2025)
Chapter: Appendix B: Briefings to the Committee
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Appendix A: Statement of Task
B
Next Chapter: Appendix C: Committee Member Biographical Information
Suggested Citation:
"Appendix B: Briefings to the Committee." National Academies of Sciences, Engineering, and Medicine. 2025. Machine Learning for Safety-Critical Applications: Opportunities, Challenges, and a Research Agenda. Washington, DC: The National Academies Press.
doi: 10.17226/27970.
B
Briefings to the Committee
Rishi Bommasani, Stanford University
Tim Chung, Microsoft
Mary (Missy) Cummings, George Mason University
Christian Heinzemann, Bosch Research
Jared Kaplan, Anthropic
Zico Kolter, Carnegie Mellon University
Phil Koopman, Carnegie Mellon University
Taylor Kulp-McDowall, Intelligence Advanced Research Projects Activity
Peter Lee, Microsoft
Sergey Levine, University of California, Berkeley
Aleksander Madry, Massachusetts Institute of Technology
Luke Muehlhauser, Open Philanthropy
Sandeep Neema, Defense Advanced Research Projects Agency
Kristopher Reese, Intelligence Advanced Research Projects Activity
Reva Schwartz, National Institute of Standards and Technology
Suggested Citation:
"Appendix B: Briefings to the Committee." National Academies of Sciences, Engineering, and Medicine. 2025. Machine Learning for Safety-Critical Applications: Opportunities, Challenges, and a Research Agenda. Washington, DC: The National Academies Press.
doi: 10.17226/27970.
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