Tackling Bias in AI
A deep dive into the formation and objectives of a dedicated team addressing bias and fairness in AI. The discussion highlights the growing recognition of these issues within the tech community and explores the team's practices and strategies for promoting accountability in AI development. Insights into the importance of staffing and the team's charter reveal a proactive approach to these critical challenges.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Productizing ML at Scale at Twitter with Yi Zhaung - TWIML Talk #271
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