Genetics and AI: Group Privacy and Fairness
Big data and artificial intelligence are growing more pervasive and are creating new, complex links between individuals and the many groups to which they might belong, including groups no one might have thought of as a “group” before. How should we think about questions of group privacy, discrimination, and group identity in this new world? Does it matter whether algorithms used in health care focus on identified groups that have been designated as protected classes, rather than more precisely (or amorphously) defined groups that may or may not align with some protected class boundaries? What does it mean to protect the privacy of an individual when big data and algorithms can predict many things from membership in groups (and group membership from many individual things)? How should providers, bioethicists, data scientists, and legal scholars take account of these changing issues? The panel will discuss these questions and more at the intersection of groups, genetics, and AI.
Join the discussion with panelists Anya Prince, JD, MPP and Sandra Wachter, PhD, LLM, moderated by Nicholson Price, JD, PhD.
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Videos in Series
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ELSI Friday Forum 2022 - Genetic Advantages in Sports: When Do They Count as "Doping"?
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ELSI Friday Forum 2022 - Advocacy and Allyship in ELSI: Opportunities and Challenges
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ELSI Friday Forum 2022 - Decoloniality and Genetic Ancestry: Situating the "African Genome"
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ELSI Friday Forum 2022 - Legal Challenges to Newborn Screening Research
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ELSI Friday Forum 2022 - Impact of SCOTUS's Dobbs Decision on Prenatal Genomics Research and Practice
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ELSI Friday Forum 2022 - Addressing Algorithmic Harms: Practices and Provocations for Health AI
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ELSI Friday Forum 2022 - Balancing Data Privacy and Data Sharing: Normative and Technical Approaches
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ELSI Friday Forum 2022 - Autism Genomics Research: Parents’ Views on Genetic Results and Autistic Representation
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ELSI Friday Forum 2022 - Genomic Imaginaries: Sparking Dialogue between ELSI and Literary Studies
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ELSI Friday Forum 2022 - Ensuring Equitable Use of New Genetic Technologies: Lessons from Eugenics