Yulia Tsvetkov
Venture Partner at AI House
Yulia Tsvetkov is a venture partner at AI House and an associate professor at the University of Washington's Allen School, where she leads a natural language processing research group focused on reliable, socially aware and multilingual language technologies. She was previously an assistant professor at Carnegie Mellon's Language Technologies Institute and a postdoc in the Stanford NLP Group.
Researchers publish Delphi, an open-source AI predicting U.S. moral judgments using John Rawls’ framework, showing better generalization but cultural blind spots and biases
The authors develop Delphi, an open-source AI trained to predict U.S. participants’ moral judgments using a framework based on John Rawls, showing improved generalization over standard language models but notable cultural blind spots and biases that limit reliability.
Organizations
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AI House Venture Partner · current
Education
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Carnegie Mellon University Ph.D. · 2011–2016
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University of Haifa MSc (on the Dean's List), Computer Science · 2007–2010
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Technion - Israel Institute of Technology BSc, Computer Science and Education · 2000–2005
