The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard - #431
Nov 27, 2020
Join filmmaker Shalini Kantayya, Algorithmic Justice League's Deb Raji, and NYU's Meredith Broussard as they tackle the pressing issue of algorithmic bias in AI. They share poignant insights from their work on the film Coded Bias, reflecting on the societal impacts of biased algorithms. Discover how technology can perpetuate disparities and the importance of inclusivity in AI development. The conversation also touches on automation in journalism, surveillance accountability, and the ethical responsibilities of tech platforms in combating misinformation.
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Coded Bias Origin
- Shalini Kantayya discovered AI bias accidentally while researching technology's impact on marginalized communities.
- She was inspired by Joy Buolamwini's work on racial bias in facial recognition.
Demystifying AI
- Meredith Broussard's work emphasizes how AI's complexity obscures its limitations and biases.
- She aims to demystify AI, enabling informed discussions about its role in society.
Disillusionment to Advocacy
- Deb Raji's experience working with AI systems led to disillusionment and a focus on ethical concerns.
- Meeting Timnit Gebru at a conference affirmed the importance of diverse perspectives in AI.
