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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 AI ethics, bias in AI, machine learning, and the implications of machine intelligence on fairness and privacy.
I investigate the reasoning behind biased AI decisions by developing 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 AI and gain insights about bias in machines as well as society.

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

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