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 and addresses the societal impact of artificial intelligence (AI) by developing methods and transparency enhancing approaches. Specifically, Caliskan's research focuses on empirical AI ethics in natural language processing, multimodal machine learning, and human-AI collaboration. Caliskan's work was among the first to rigorously show that machine learning models trained on language corpora contain human-like biases. Her contributions to 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.