Upcoming Talks

Harvard University
February 2021
University of Washington
February 2021

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 interests lie in artificial intelligence (AI) ethics, AI bias, computer vision, natural language processing, and machine learning, with a strong interest in human computer interaction. I study the impact of machine intelligence on society, especially threats to fairness, privacy, and democracy. I investigate the reasoning behind biased AI representations and decisions by developing explainability methods that uncover and quantify human-like biases learned by machines. Building these transparency enhancing algorithms involves the use of machine learning, natural language processing, and computer vision to interpret AI's co-evolution with society and gain insights on artificial and natural intelligence.


  • Looking forward to teaching Machine Learning in Fall 2021.
  • I joined the Founding Editorial Board of the new Springer journal, AI and Ethics.
  • My paper on AI bias is published in Science. Semantics derived automatically from language corpora contain human-like biases.
    source code
  • I am the moderator of Computer Science - Computers and Society on arXiv.
  • My work on discovering implicit bias embedded in the statistical regularities of language, namely word embeddings, is the recipient of "Best Talk Award, HotPETS 2016".
  • Research

    AI Bias - AI Ethics - AI for Social Good - Human Computer Interaction

    Machine Learning - Natural Language Processing - Computer Vision

    Research Mindmap