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Aylin Caliskan is an Associate Professor at the University of Washington's Information School. Her research specializes in Artificial Intelligence, focusing particularly on its Societal Impacts, AI Ethics, Machine Learning, and Natural Language Processing. Aylin is known for her work on Sociotechnical Information Systems and has a strong commitment to mentoring students, particularly those pursuing Ph.D. degrees in her field. She has received several prestigious awards, including the NSF CAREER Award and recognition as a 100 Brilliant Women in AI Ethics. Aylin has presented extensively on topics of bias and fairness in AI, emphasizing the importance of transparency in algorithmic decision-making. With a solid academic foundation, including a Post Doctorate from Princeton University and a Ph.D. from Drexel University, she continues to contribute significantly to the discourse around AI and its implications for society. Her dedication to her work and students has made her a notable figure in her research community.
University of Washington • Seattle, WA
Teaching, conducting research, and mentoring graduate students in the field of Information Science.
University of Washington Paul G. Allen School of Computer Science & Engineering • Seattle, WA
Engaging in interdisciplinary research initiatives and collaborations with students and faculty.
Standard Graduate School requirements for University of Washington apply to most departments listed unless specified otherwise by the program.