Margaret Mitchell is a researcher specialising in machine learning and AI ethics. She has published around 100 papers on topics such as natural language generation, assistive technology, computer vision, and AI ethics and holds several patents related to conversation generation and sentiment classification. In 2023, she was recognised as one of Time's Most Influential People.
Currently, she serves as Chief Ethics Scientist at Hugging Face, where she advances work in the machine learning development ecosystem, data governance, AI evaluation, and ethics. Previously, she was a Staff Research Scientist at Google AI, where she founded and co-led the Ethical AI group, focusing on foundational AI ethics research. Before her time at Google, she worked at Microsoft Research on computer vision and language generation and completed a postdoc at Johns Hopkins, concentrating on Bayesian modelling and information extraction.
Margaret holds a PhD in Computer Science from the University of Aberdeen and a Master's in Computational Linguistics from the University of Washington. While pursuing her degrees, she worked from 2005 to 2012 at Oregon Health and Science University on machine learning and assistive technology for neurological disorders.
She has led various workshops and initiatives at the intersection of diversity, inclusion, computer science, and ethics. Her work has earned recognition from the Secretary of Defense and the American Foundation for the Blind and has been adopted by several technology companies.