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DataFramed

#161 Fighting for Algorithmic Justice with Dr. Joy Buolamwini, Artist-in-Chief and President of The Algorithmic Justice League

Oct 30, 2023
Dr. Joy Buolamwini, an AI researcher and founder of the Algorithmic Justice League, discusses her groundbreaking work on algorithmic bias and facial recognition technology. She shares her personal experiences with biased systems and the launch of the Gender Shades Project, aimed at promoting dataset diversity. Joy highlights the urgent need for transparency and accountability in AI to protect marginalized communities. The conversation also explores the interplay of art and technology, emphasizing the importance of self-care for activists amidst their critical work.
55:02

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Algorithmic bias in facial recognition systems disproportionately affects marginalized groups, such as black women.
  • Transparency, auditing, and ongoing monitoring, along with policies and regulations, are crucial in addressing algorithmic discrimination in AI systems.

Deep dives

The Challenges of Gender Classification in Facial Analysis Systems

The podcast episode explores the speaker's experience with gender classification in facial analysis systems. The speaker, an MIT researcher, discovered that the systems did not work on her dark skin and mislabeled her as male. This led her to investigate and research the issue, which eventually became known as the Gender Shades Project. The episode highlights the importance of addressing bias in computer vision AI, particularly in security and policing applications where the consequences can be severe.

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