Bulletin of the American Physical Society
APS April Meeting 2022
Volume 67, Number 6
Saturday–Tuesday, April 9–12, 2022; New York
Session Y06: Physics Education Can Spark Unusual and Creative Careers Outside of AcademiaCareers Education Invited Live Streamed Prize/Award Undergrad Friendly
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Sponsoring Units: FPS Chair: Cherrill Spencer, SLAC - Natl Accelerator Lab Room: Marquis A-B |
Tuesday, April 12, 2022 1:30PM - 2:06PM |
Y06.00001: Joseph A. Burton Forum Award (2022): No Simple Trajectory: Navigating between Research in Theoretical Physics and the Civic Responsibility of a Scientist Invited Speaker: Robert L Jaffe I reflect upon more than 50 years as a theoretical physicist. Born as a physicist in tumultuous times, I have been torn between intense immersion in research and the compulsion to engage issues in the public sphere -- science policy, outreach, and education. What began in the early 1970s with the Stanford Workshops on Political and Social Issues has now culminated with a decade-long project to create an undergraduate course on the Physics of Energy. As I describe these projects, their origins in the context of their times, and the complicated trajectory I followed in between, I hope some lessons for a younger generation of physicists will emerge. |
Tuesday, April 12, 2022 2:06PM - 2:42PM |
Y06.00002: Responsible AI: Combatting Blind Faith in Machine Learning Invited Speaker: Scott Zoldi Have you given thought to the AI and machine learning that makes a myriad of decisions about you every day and whether this AI is built ethically and safely? Sometimes referred to as ‘weapons of math destruction’, poorly developed AI models exhibit bias, uncertainty, and safety issues. A lack of standards for responsible development of AI is an issue for all. A physics mindset can help balance the far too rapid advancement in software engineering and cloud/machine computation which exacerbates the issue. Please join Dr. Scott Zoldi, theoretical physicist, and the chief analytics officer of FICO who will discuss how responsible AI models can be built to be robust, interpretable, ethical and auditable. |
Tuesday, April 12, 2022 2:42PM - 3:18PM |
Y06.00003: The Gravity of Leaving Science for the Circus Invited Speaker: Julia Ruth
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