Algorithmic Bias Awareness
Orly emphasizes the need to evaluate algorithms against human biases, highlighting that both humans and machines can exhibit fallibilities. Jon discusses the importance of careful data labeling in machine learning, pointing out that human biases can seep into the training process. He expresses optimism about technological solutions, like automated labeling, which can help mitigate these issues and enhance fairness in recruitment practices.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
636: The Equality Machine — with Orly Lobel
Related Questions
How can AI reduce bias in hiring processes, as discussed in the episode Using Deep Learning and Google Street View to Estimate Demographics with Timnit Gebru - #88 and the clip Uncovering Bias?
Can AI have biases 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?