Challenges and opportunities in the DRC: A conversation with President Félix Tshisekedi


Challenges and opportunities in the DRC: A conversation with President Félix Tshisekedi
Aylin Caliskan

Aylin Caliskan

Aylin Caliskan is a Nonresident Fellow in Governance Studies at The Brookings Institution, housed in the Center for Technology Innovation. Caliskan also serves as an assistant professor at the University of Washington’s Information School. Caliskan’s research interests lie in artificial intelligence (AI) ethics, bias in AI, machine learning, and the implications of machine intelligence on privacy and equity. She investigates the reasoning behind biased AI representations and decisions by developing theoretically grounded statistical methods that uncover and quantify the biases of machines. Building these transparency enhancing algorithms involves the use of machine learning, natural language processing, and computer vision to interpret AI and gain insights about bias in machines as well as society. Caliskan’s publication in Science demonstrated how semantics derived from language corpora contain human-like biases. Their work on machine learning’s impact on individuals and society received the best talk and best paper awards. Caliskan was selected as a Rising Star in EECS at Stanford University. Caliskan holds a Ph.D. in Computer Science from Drexel University’s College of Computing & Informatics and a Master of Science in Robotics from the University of Pennsylvania. Caliskan was a Postdoctoral Researcher and a Fellow at Princeton University’s Center for Information Technology Policy.

  • Areas of Expertise

    • Artificial Intelligence
    • AI Bias
    • AI Ethics
    • Machine Learning
    • Natural Language Processing
    • Computer Vision
  • Current Positions

    • Assistant Professor, Information School; University of Washington
    • Adjunct Assistant Professor, Paul G. Allen School of Computer Science & Engineering; University of Washington
    • Nonresident Fellow, Governance Studies; The Brookings Institution
  • Past Positions

    • Assistant Professor, Dept. of Computer Science; George Washington University
    • Core Faculty, Institute for Data, Democracy and Politics; George Washington University
    • Postdoctoral Research Associate and Fellow, Center for Information Technology Policy; Princeton University
  • Education

    • Ph.D. in Computer Science; Drexel University
    • M.S. in Computer Science; Drexel University
    • M.S.E. in Robotics; University of Pennsylvania
    • B.S. in Information Systems; SUNY-Binghamton University
    • B.S. in Information Systems Engineering; Istanbul Technical University
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