Encoding for Equity
Joy discusses the importance of the encoding movement in addressing AI bias, emphasizing that inclusion isn't always the solution. She highlights the need for agency and the right not to be included, pointing out real-world implications like pedestrian tracking algorithms missing shorter individuals and the darker-skinned population. The conversation underscores the multifaceted considerations required in developing equitable technology.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
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