Bio

Aylin Caliskan is an Assistant Professor in the Information School and holds an adjunct appointment in the Paul G. Allen School of Computer Science & Engineering at the University of Washington where she co-directs the UW Tech Policy Lab. Previously, Caliskan was an Assistant Professor of Computer Science at George Washington University. Caliskan studies the societal impact of artificial intelligence (AI) by developing evaluation methods and transparency enhancing approaches. Specifically, Caliskan's research interests lie in AI ethics, AI bias, natural language processing, multimodal machine learning, and human-AI interaction. Caliskan's publication in Science demonstrated how semantics derived from language corpora contain human-like biases. Her work on machine learning's impact on fairness and privacy received the best talk and best paper awards. Caliskan holds a Ph.D. in Computer Science from Drexel University's College of Computing & Informatics and a Master of Science in Robotics from the University of Pennsylvania. Caliskan was a Postdoctoral Researcher and a Fellow at Princeton University's Center for Information Technology Policy. In 2021, Caliskan was appointed a Nonresident Fellow in Governance Studies at The Brookings Institution, housed in the Center for Technology Innovation. Her honors include recognition as a Rising Star in EECS at Stanford University, being named one of the 100 Brilliant Women in AI Ethics, an IJCAI Early Career Spotlight, and the NSF CAREER Award.