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How External Auditing is Changing the Facial Recognition Landscape with Deb Raji - #388

How External Auditing is Changing the Facial Recognition Landscape with Deb Raji - #388

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


How External Auditing is Changing the Facial Recognition Landscape with Deb Raji - #388

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
81 minutes
Released:
Jul 2, 2020
Format:
Podcast episode

Description

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.  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 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. The complete show notes for this episode can be found at twimlai.com/talk/388.
Released:
Jul 2, 2020
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.