Harvard Business Review: How to Practice Responsible AI

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An interesting podcast with Dr. Rumman Chowdhury, director of Machine Learning Ethics, Transparency and Accountability at Twitter and Exponential View's Azeem Azhar, who explore how businesses can practice responsible AI to minimize unintended bias and the risk of harm. "From predictive policing to automated credit scoring, algorithms applied on a massive scale, gone unchecked, represent a serious threat to our society. They also discuss: How you can assess and diagnose bias in unexplainable 'black box' algorithms; Why responsible AI demands top-down organizational change, implementing new metrics and systems of redress; How Twitter led an audit of its own image-cropping algorithm that was alleged to bias white faces over people of color; and the emerging field of 'Responsible Machine Learning Operations' (MLOps)."

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