Fairness in AI
Lindsey discusses the importance of addressing fairness concerns in the machine learning and AI community, highlighting the need for transparency and open conversations. She also shares insights on how algorithms can be used responsibly and offers recommendations for data science teams to mitigate bias in their own circumstances.In this clip
From this podcast
Practical AI
Fighting bias in AI (and in hiring)
Related Questions
Are hiring algorithms biased as discussed in the episode Zack Chase Lipton — The Medical Machine Learning Landscape and the clip Algorithmic Fairness Challenges?
Are hiring algorithms biased as discussed in the episode Mindscape 156 | Catherine D’Ignazio on Data, Objectivity, and Bias and the clip Fairness in Algorithms alongside the episode Zack Chase Lipton — The Medical Machine Learning Landscape and the clip Algorithmic Fairness Challenges?
Are there biases in AI as discussed in the episode Ayanna Howard: Human-Robot Interaction & Ethics of Safety-Critical Systems | Lex Fridman Podcast #66 and the clip Algorithmic Bias in Healthcare?