Aylin Caliskan

My first name is pronounced as Eye-lin

Assistant Professor
Department of Computer Science
Institute for Data, Democracy, and Politics
George Washington University     SEH 4590
  aylin@gwu.edu        @aylin_cim


My research is on machine learning and implications of machine intelligence on bias, fairness, and privacy.
I investigate how AI perceives the world by building explainability methods that uncover and quantify human-like biases in machines. Building these transparency enhancing methods involves the heavy use of machine learning, natural language processing, and computer vision in novel ways to interpret big data, develop privacy attacks with security implications, and gain insights about bias in machines as well as society.


  • Looking forward to teaching Bias in AI in Spring 2020.
  • My paper on AI bias is published in Science. Semantics derived automatically from language corpora contain human-like biases.
  • I am the moderator of Computer Science - Computers and Society on arxiv.
  • My work on bias and unfairness embedded in semantic spaces, namely word embeddings, is the recipient of "Best Talk Award at HotPETS 2016".
  • Research

    My research on AI for social good utilizes machine learning
    as a scientific discovery, exploration, and analysis tool.

    Research Mindmap