Fairness in AI
When techniques obscure the ability to ensure fairness, critical questions arise about accountability and transparency. The discussion delves into the challenges of maintaining ethical standards in AI development. Insights reveal the necessity of balancing innovation with responsibility, urging practitioners to remain vigilant about the implications of their work.In this clip
From this podcast

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Live from TWIMLcon! Operationalizing Responsible AI - #310
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