Pepa Kostadinova Atanasova, PhD student at the University of Copenhagen, will present "Towards Explainable and Accountable Fact-Checking."
Pepa Atanasova is a last-year PhD student in the Natural Language Processing Section at the University of Copenhagen, supervised by Isabelle Augenstein. Her main research interests lie in the area of explainable machine learning with applications in complex reasoning tasks such as fact checking and question answering.
In the Responsible Data Science and AI Speaker Series, we discuss topics such as equity, fairness, biases, ethics, and privacy. The presentations and discussions take place on Fridays from 9:00-10:00 a.m. Central Time on Zoom. The event is open to the public, and everyone is welcome to attend! To join a session, go to the current week's session, click the "access" link, and then the "PARTICIPATE online" button. Recordings of past talks can be found next to "access" if available. This series is hosted by the iSchool's Center for Informatics Research in Science and Scholarship (CIRSS). If you have any questions, please contact Jana Diesner.
This event is sponsored by Center for Informatics Research in Science and Scholarship