Aylin Caliskan

Aylin Caliskan is a nonresident senior fellow in the Center for Technology Innovation within the Governance Studies program at Brookings. Caliskan is also an associate 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 researches AI and addresses its societal impacts by developing transparency enhancing evaluation methods and mitigation techniques. Specifically, Caliskan’s research focuses on technical and 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 the impact of natural language processing on fairness and privacy have received best talk and best paper awards. Caliskan holds a doctorate 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 Brookings within the Center for Technology Innovation.

Her honors include recognition as a Rising Star in electrical engineering and computer science (EECS) at Stanford University, being named one of the 100 Brilliant Women in AI Ethics, an IJCAI Early Career Spotlight, and a National Science Foundation (NSF) CAREER Award.