At the University of Washington, Yejin Choi serves as a professor.
6.0 /10
At the University of Washington, Yejin Choi serves as a professor.
As an assistant professor in the Computer Science and Engineering Department at the University of Washington, Yejin Choi merges natural language processing with computer vision. Her research delves into modeling image descriptions, learning from multiple knowledge sources, and exploring visual entailment. Additionally, she examines text authorship and intent by analyzing writing styles and connotations. Holding a PhD in computer science from Cornell University, she's celebrated for being a co-recipient of the Marr Prize at ICCV 2013.
Yejin Choi is not only an adjunct professor in linguistics but also an associate professor at the Paul G. Allen School of Computer Science and Engineering at the University of Washington, along with being a member of the Center for Statistics and Social Sciences. At the Allen Institute, she functions as a senior research manager. Her accolades include being recognized in IEEE AI’s 10 to Watch list in 2016, sharing the Marr Prize for the best paper at ICCV 2013, and winning the Borg Early Career Award (BECA) in 2018. She obtained her undergraduate degree in computer science and engineering from Seoul National University in Korea and earned her doctorate in computer science from Cornell University under the mentorship of Prof. Claire Cardie.Artificial Intelligence Yejin Choi delivered a TED talk titled 'Why AI Is Incredibly Smart and Shockingly Stupid.'
2023
Choi's research primarily investigates the differences between human intelligence and that of AI systems. She points out that while calculators can perform numerical tasks with amazing speed and precision, this doesn't necessarily mean they exceed human intelligence in other aspects.
Researchers from Stanford University recently published a study evaluating the transparency of foundational AI models, raising concerns over diminishing clarity in AI operations. They advocate for companies to openly share their data sources and the human labor involved in training these models, aiming to foster greater transparency and serve as a valuable resource for policymakers.ChatGPT On the Edge of AI Podcast, host Eathan Janney invites Dr. David G. Stork, an adjunct professor at Stanford University, to explore AI's influence on art analysis.
When it comes to her personal brand, Yejin Choi scores moderately across various dimensions, with a 6 out of 10 for presence and authority, 8 for expertise, 5 for influence, and an overall rating of 6 out of 10. She holds the position of an adjunct professor.
