Today we’re taking a break from our CVPR coverage to bring you this interview with Deb Raji, a Technology Fellow at the AI Now Institute at New York University.
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Over the past week or two, there have been quite a few major news stories in the AI community, including the self-imposed moratorium on facial recognition technology from Amazon, IBM, and Microsoft. There was also the release of PULSE, a controversial computer vision model that ultimately sparked a Twitter firestorm involving Yann Lecun and AI ethics researchers, including friend of the show, Timnit Gebru. The controversy echoed into the broader AI community, eventually leading to the former’s departure from Twitter.
In our conversation with Deb, we dig into both of these stories in-depth, discussing the origins of Deb’s work on the Gender Shades project, how subsequent work put a spotlight on the potential harms of facial recognition technology, and who holds responsibility for dealing with underlying bias issues in datasets.
Connect with Deb!
- Gender Shades Project
- Paper: Model Cards for Model Reporting
- Paper:Actionable Auditing: Investigating the Impact of Publicly Naming Biased Performance Results of Commercial AI Products
- Paper: Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing
- Paper: World Economic Forum – A Framework for Responsible Limits on Facial Recognition Use Case: Flow Management
- Paper: Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing
- Article: The Secretive Company That Might End Privacy as We Know It (NYT)
- Excavating AI
- TImnit Gebru & Yann LeCun Twitter Interaction
- Sam Segall – Twitter
- Timnit Gebru
- Georgetown Law: The Perpetual Line-Up: Unregulated Police Face Recognition in America Coded Bias documentary
- Algorithmic Injustices and Relational Ethics with Abeba Birhane
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“More On That Later” by Lee Rosevere licensed under CC By 4.0