The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Trends in Fairness and AI Ethics with Timnit Gebru - #336
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Jan 6, 2020 
Timnit Gebru, a research scientist at Google Brain and co-lead of their ethical AI team, dives into the evolving landscape of AI fairness and ethics. She discusses the importance of representation, highlighting initiatives like Black in AI that enhance diversity in tech conferences. Gebru also reflects on the significance of intersectional testing and the introduction of model cards for transparency. With insights from NeurIPS, she navigates the challenges of promoting ethical AI amidst personal and institutional hurdles, underscoring the need for inclusive voices in shaping AI governance.
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Brazilian Student's Experience
- A Brazilian student shared that he hadn't seen another black person for two years during his undergraduate program.
- This highlighted the lack of diversity even in countries with significant black populations.
Self-Reflection in AI Ethics
- The fairness and ethics community is beginning to examine its own technical approaches critically.
- They're considering the potential harm and limitations of simply applying band-aid solutions.
Fairness Beyond Metrics
- Fairness is not just about equalizing performance metrics across subgroups.
- It's crucial to consider the entire system, including the people building AI systems and their biases.