FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems
Jan 1, 2022·,,,,,·
0 min read
Alexander Hepburn
Rafael Poyiadzi
Matthew Clifford
Raúl Santos-Rodríguez
Peter A. Flach
Authors
Postdoc
Kacper Sokol is a postdoctoral researcher at the Faculty of Informatics, Università della Svizzera italiana (USI), affiliated with the People-Centered Computing Lab.
Research interests
His research primarily focuses on the explainability of data-driven predictive systems based on artificial intelligence and machine-learning algorithms, with a particular interest in their applications within the medical field.