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 uncertain 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.The complete show notes for this episode can be found at twimlai.com/go/572

Machine learning researcher Margaret Mitchell joins the hosts to discuss 'AI deception', critiquing the misleading framing of AI systems, the risks of advanced AI capabilities, and ethical considerations in AI email communication. They also explore the impact of AI-generated text on human interactions and legal risks in using AI tools for employee handbooks.

Hidden away in our voices are signals that may hold clues to how we’re doing, what we’re feeling and even what’s going on with our physical health. Now, AI systems tasked with analyzing these signals are moving into healthcare.We meet:Lina Lakoczky-Torres, student at Menlo CollegeAngela Schmiede, Vice President of Menlo College.Grace Chang, CEO of KintsugiDavid Liu, CEO of Sonde HealthLiam Kaufman, former CEO of Winterlight Labs. Margaret Mitchell, Chief Ethics Scientist of Hugging FaceBjoern Schuller, professor of artificial intelligence at Imperial College LondonCredits:This episode was reported by Hilke Schellmann, produced by Jennifer Strong, Emma Cillekens and Anthony Green, edited by Mat Honan and mixed by Garret Lang with original music by Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett. Special thanks to the Knight Science folks at MIT for their support with this reporting.