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AI Responsibly: Building Human-Centric Information Systems


This event is brought to you by the University of Washington Information School

Date: October 20, 2021 at 4:45 p.m. PT / 6:45 p.m. CT / 7:45 p.m. ET

The Center for Responsible AI Systems & Experiences (RAISE) provides AI, ML, Human-Centered Computing and Data Science resources, connections, and directions for those working on research and curriculum activities with computational as well as humanistic methods. RAISE builds intelligent and value-sensitive solutions that provide fair and equitable access to information and opportunities to individuals, organizations, and communities. Researchers at RAISE study the issues of transparency, fairness, accountability, ethics, and trustworthiness in AI systems, as well as building and evaluating human-centric AI algorithms and systems. 

Registration is limited, so sign up today!

Zoom Link: https://washington.zoom.us/j/92265779051?pwd=Z1hKM0lZdTRMQnhTWnFKazA5ZDVtQT09

(RSVP for the Session Passcode)


Meet the Speaker


 

Aylin Caliskan
Assistant Professor,
University of Washington Information School

Aylin Caliskan is an assistant professor in the Information School at the University of Washington. 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. Her 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. In 2021, they were named a Nonresident Fellow at the Brookings Institution. 

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