Data Ethics Challenges
The conversation highlights the critical link between data collection practices and ethical implications in machine learning. Kathryn emphasizes the importance of addressing data representation issues to avoid biased algorithm outcomes. Additionally, the tension between data retention policies and machine learning objectives reveals a need for better cross-functional collaboration within organizations.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Operationalizing Ethical AI with Kathryn Hume - TWiML Talk #210
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