Epistemic Injustice Feedback
Tim and Dan explore the concept of epistemic injustice within machine learning, discussing how judgments can distort systems through feedback loops. They delve into the impact of testimonial injustice on marginalized communities, highlighting the reinforcement of marginalization through biased credibility assessments. The conversation sheds light on the unintended harmful effects of ignoring current societal dynamics in system design.In this clip
From this podcast
Machine Learning Street Talk (MLST)
#109 - Dr. DAN MCQUILLAN - Resisting AI
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