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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Five Black Attendees
- Timnit Gebru counted five black attendees at NeurIPS 2016 in Barcelona.
- Now, NeurIPS has become more diverse and inclusive, with various affinity groups.
Black in AI Support
- Black in AI provides per diem cash for food to attendees who might not afford upfront conference costs.
- They also address intersectionality within the black community, considering underrepresented groups.
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.