“Fairwashing” and the Folly of ML Solutionism with Zachary Lipton - TWIML Talk #285
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Ethics in Machine Learning: Challenges and Contexts
This chapter explores the ethical complexities of machine learning and algorithmic decision-making, stressing the need for deep engagement with historical and systemic issues. It highlights the risks of 'fairwashing' and the necessity for interdisciplinary collaboration to address biases and injustices in data.
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