Margaret Mitchell: Ethics in the Vision and Language of Artificial Intelligence
"This talk is intended for all audiences, discussing how social inequality is propagated in machine learning systems. I will explain (some of) the role of human cognition in creating and amplifying systemic social issues in AI, the effects of Big Data on system development, and the role that ethics can play in the machine learning lifecycle."
Margaret Mitchell is a Staff Research Scientist at Google AI. She founded and co-leads Google's Ethical AI group, focused on foundational sociotechnical research and operationalizing AI ethics Google-internally. She has spearheaded a number of workshops and initiatives at the intersections of diversity, inclusion, computer science, and ethics. Prior to Google, Margaret was a researcher at Microsoft Research, where she focused on computer vision-to-language generation research; a postdoctoral researcher at Johns Hopkins, where she focused on Bayesian statistics and Information Extraction in text; a PhD student in Computing Science at the University of Aberdeen (Scotland), focused on generating reference to visible objects; a Master's student in Computational Linguistics at the University of Washington; and simultaneously a Scholar/Associate/etc. for 7+ years working on machine learning, neurological disorders, and assistive technology at CSLU within Oregon Health and Science University. She is both a dog person and a cat person.
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