Jul 30, 2021 • 1HR 3M

Anna Rogers on the Flaws of Peer Review in AI

An interview with Dr. Anna Rogers, a post-doctoral associate at the University of Copenhagen about her start in AI research and the state of peer review in AI

 
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The Gradient
Interviews with various people who research, build, or use AI, including academics, engineers, artists, entrepreneurs, and more.
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In episode 5 of The Gradient Podcast, we interview NLP researcher Anna Rogers.

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Anna Rogers is a post-doctoral associate at the University of Copenhagen, working with the research groups in the Center for Social Data Science and Machine Learning section. Her main research area is Natural Language Processing, with focus on interpretability and evaluation of deep learning models. She is also known for her work on improving peer review in NLP and as organizer of the workshop on Insights from Negative Results in NLP.

Check out her article What Can We Do To Improve Peer Review in NLP and her tutorial Reviewing NLP Research.

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