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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.

News

Looking forward to teaching Machine Learning in Fall 2020. 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