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Join Dr Margaret Mitchell as she discusses what 'bias' is within AI systems, and how to evaluate biased systems.
In this talk, Dr Margaret Mitchell will describe in detail what "bias" is within AI systems, including work from cognitive science, psycholinguistics, philosophy, statistics, computer vision, and natural language processing. Dr Mithcell will discuss how to consider bias trade-off, and how to evaluate biased AI systems in light of how they will be used by consumers. Time permitting, she will offer some solutions towards creating less problematic system outcomes now and in the future.
About the speaker
Dr Margaret Mitchell is a researcher working on Ethical AI, currently focused on the ins and outs of ethics-informed AI development in tech. She has published over 50 papers on natural language generation, assistive technology, computer vision, and AI ethics, and holds multiple patents in the areas of conversation generation and sentiment classification.
She previously worked at Google AI as a Staff Research Scientist, where she founded and co-led Google's Ethical AI group, focused on foundational AI ethics research and operationalizing AI ethics Google-internally. Before joining Google, she was a researcher at Microsoft Research, focused on computer vision-to-language generation; and was a postdoc at Johns Hopkins, focused on Bayesian modeling and information extraction. She holds a PhD in Computer Science from the University of Aberdeen and a Master's in computational linguistics from the University of Washington.
- Speaker
- Dr Margaret Mitchell
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