Discrimination in AI
There's a growing awareness of how training data in machine learning can reflect past discriminatory practices in hiring and employee evaluation. While some companies are working to address these issues by breaking down performance metrics by demographic groups, the challenge lies in collecting that sensitive data without risking accusations of bias. This tension highlights the complexities of using AI responsibly in recruitment and performance assessment.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Legal and Policy Implications of Model Interpretability with Solon Barocas - TWiML Talk #219
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