Evan Shieh is the executive director of the Young Data Scientists League, where he is an artificial intelligence ethics educator, designing and teaching culturally relevant data science and AI justice learning experiences that empower thousands of minoritized K–12 students to use research to make an impact in their local communities. Previously, Shieh worked as a data scientist at Amazon, building culturally responsive, multilingual machine learning systems. His AI ethics work has been published in such leading research venues as Nature Communications; ACM FAccT; the Conference on AI, Ethics, and Society; the Conference on Equity and Access in Algorithms, Mechanisms, and Optimization; and the Symposium on Educational Advances in Artificial Intelligence.

For more insights on the role of math in ensuring educational equity, subscribe to Just Equations’ newsletter.