Operationalizing AI Ethics
In this talk, Alice Xiang, Senior Research Scientist at Sony AI, will discuss some of the steps Sony AI is taking to operationalize AI ethics and some of the key research questions Sony AI will be exploring around fairness, privacy, explainability, and causality. Given that AI ethics is an area with many competing values and the need for highly contextualized solutions, research will play a key role in bridging the gap between the goals of AI ethics and their operationalization.
Alice Xiang is a Senior Research Scientist at Sony AI, where she leads research on responsible AI. Alice previously worked as the Head of Fairness, Transparency, and Accountability Research at the Partnership on AI. Core areas of Alice's research include algorithmic bias mitigation, explainability, causal inference, and algorithmic governance. Alice is both a statistician and lawyer and has previously developed machine learning models and served as legal counsel for technology companies. Alice holds a Juris Doctor from Yale Law School, a Master’s in Development Economics from Oxford, a Master’s in Statistics from Harvard, and a Bachelor’s in Economics from Harvard.