Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell

572

The TWIML AI Podcast
The TWIML AI Podcast
1 min readMay 12, 2022

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About this Episode

Today we close out our coverage of the ICLR series joined by Meg Mitchell, chief ethics scientist and researcher at Hugging Face. In our conversation with Meg, we discuss her participation in the WikiM3L Workshop, as well as her transition into her new role at Hugging Face, which has afforded her the ability to prioritize coding in her work around AI ethics. We explore her thoughts on the work happening in the fields of data curation and data governance, her interest in the inclusive sharing of datasets and creation of models that don’t disproportionately underperform or exploit subpopulations, and how data collection practices have changed over the years.

We also touch on changes to data protection laws happening in some pretty unlikely places, the evolution of her work on Model Cards, and how she’s using this and recent Data Cards work to lower the barrier to entry to responsibly informed development of data and sharing of data.

To learn more about this episode, or to access the full resource list, visit twimlai.com/go/572

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The TWIML AI Podcast
The TWIML AI Podcast

The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, etc.