Keeping Prejudice Out of AI, Over the past decade
Tech
AI has become central to nearly every aspect of our online lives. But risks emerge when data scientists train algorithms on data sets they may not know have a bias. Consequences can include underserving diverse patients in healthcare environments, under-targeting women for critical postings like STEM job ads, and skews in how housing ads reach communities of color. This session would explore how organizations can operate within these algorithms and what governance may look like across different sectors.
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