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Margaret is a Senior Research Scientist in Googleโ€™s Research & Machine Intelligence group, working on artificial intelligence. Her research generally involves vision-language and grounded language generation, focusing on how to evolve artificial intelligence towards positive goals. This includes research on helping computers to communicate based on what they can process, as well as projects to create assistive and clinical technology from the state of the art in AI. Her work combines computer vision, natural language processing, social media, many statistical methods, and insights from cognitive science. Margaret Mitchell, PhD was a keynote speaker at ODSC East 2020 Virtual Conference โ†’ To watch more videos like this, visit https://aiplus.odsc.com โ† Do You Like This Video? Share Your Thoughts in Comments Below Also, You can visit our website and choose the nearest ODSC Event to attend and experience all our Trainings and Workshops: https://odsc.com/apac/ https://odsc.com/california/ Sign up for the newsletter to stay up to date with the latest trends in data science: https://opendatascience.com/newsletter/ Follow Us Online! โ€ข Facebook: https://www.facebook.com/OPENDATASCI/ โ€ข Instagram: https://www.instagram.com/odsc/ โ€ข Blog: https://opendatascience.com/ โ€ข Linkedin: https://www.linkedin.com/company/open-data-science/ โ€ข Learning Videos: https://learnai.odsc.com #ArtificialIntelligence #DataScience #ODSC
As a research scientist at Google, Margaret Mitchell helps develop computers that can communicate about what they see and understand. She tells a cautionary tale about the gaps, blind spots and biases we subconsciously encode into AI — and asks us to consider what the technology we create today will mean for tomorrow. “All that we see now is a snapshot in the evolution of artificial intelligence,” Mitchell says. “If we want AI to evolve in a way that helps humans, then we need to define the goals and strategies that enable that path now.” Check out more TED Talks: http://www.ted.com The TED Talks channel features the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design — plus science, business, global issues, the arts and more. Follow TED on Twitter: http://www.twitter.com/TEDTalks Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: https://www.youtube.com/TED
Original post: https://www.gcppodcast.com/post/episode-114-machine-learning-bias-and-fairness-with-timnit-gebru-and-margaret-mitchell/ This week, we dive into machine learning bias and fairness from a social and technical perspective with machine learning research scientists Timnit Gebru from Microsoft and Margaret Mitchell (aka Meg, aka M.) from Google. They share with Melanie and Mark about ongoing efforts and resources to address bias and fairness including diversifying datasets, applying algorithmic techniques and expanding research team expertise and perspectives. There is not a simple solution to the challenge, and they give insights on what work in the broader community is in progress and where it is going.