Upcoming Distinguished Lecture Series Sessions:
30 January 2:00 pm EDT | 30 January 7:00 pm GMT | 31 January 6:00 am AEDT
Title | “Ethical AI” is More than Loss Functions
Presenter |Sherri Rose, PhD, Professor, Stanford University, Director, Health Policy Data Science Lab
ABSTRACT - Algorithms are not neutral. Optimization choices reflect a specific value system and the distribution of power to make these decisions. Data also reflect societal bias. Ethics and fairness research for health AI spans many fields, including policy, medicine, computer science, sociology, public health, and statistics. Considerations go well beyond loss functions and typical measures of statistical assessment. This talk includes discussion of team construction, minimum standards for research quality, rigor & reproducibility, least publishable units, and community engaged research. Overarching themes are that centering health equity, developing methodology tailored to specific health questions, and rejecting harmful AI hype cycles are critical given the stakes involved.
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The IBS Distinguished Lecture Series is open to all IBS members worldwide (not limited to English-speaking natives).
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