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X-FROM-URL:https://www.bayareascience.org/calendar/index.php?com=details&eID=40054
X-WR-RELCALID:BayAreaScience.org Responsibly Improving AI with Privacy-Sensitive Data: Principles, Theory, and Practice 20260224T153000
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URL;VALUE=URI:https://www.bayareascience.org/calendar/index.php?com=detail&eID=40054
DTSTART:20260224T153000
DTEND:20260224T163000
SUMMARY:Responsibly Improving AI with Privacy-Sensitive Data: Principles\, Theory\, and Practice
DESCRIPTION:Large language models have revolutionized the field of machine learning\, but a core tenet remains: AI systems need to be built and tuned using high-quality data from the right domain. As these...\n______________________________\nThis Event Downloaded From a Helios Calendar Powered Site
LOCATION:Calvin Laboratory - UC Berkeley Auditorium\, Berkeley\, CA  94720
CATEGORIES:BayAreaScience.org Events
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