Rate Professor Aylin Caliskan

Aylin Caliskan

Academic Background: Ph.D. in Computer Science, Boston University. B.S. in Computer Engineering, Bogazici University.

Research Interests: Focuses on bias, fairness, and ethics in artificial intelligence and machine learning, particularly in language technologies and human-AI interactions. Develops methods to measure societal impact and transparency in generative AI.

Appointments: Associate Professor, University of Washington Information School. Faculty member at the Tech Policy Lab and AI & Ethics Lab.

Awards: Recipient of multiple grants for AI ethics research, including NSF funding.

Publications: Numerous articles in top-tier journals such as Science, Nature Machine Intelligence, and Proceedings of the National Academy of Sciences on bias in AI systems.

Additional Contributions: Advises Ph.D., master’s, and undergraduate students in the Tech Policy Lab. Frequent speaker at academic and public forums on AI ethics.