A research paper co-authored by professor Jaesik Choi (Graduate School of AI) was published on December 18th in Science Robotics.
The title of this paper is ‘XAI—Explainable artificial intelligence’ and see the detailed information below.
“XAI—Explainable artificial intelligence” (Science Robotics 4, no. 37, 2019)
by David Gunning, Mark Stefik, Jaesik Choi (KAIST AI) , Timothy Miller, Simone Stumpf, and Guang-Zhong Yang.
Abstract: Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications.
Link: Click here