Litcius/Paper detail

FAT Forensics: A Python Toolbox for Implementing andDeploying Fairness, Accountability and TransparencyAlgorithms in Predictive Systems

Kacper Sokol, Alexander Hepburn, Rafael Poyiadzi, Matthew Clifford, Raúl Santos‐Rodríguez, Peter Flach

2020The Journal of Open Source Software37 citationsDOIOpen Access PDF

Abstract

Sokol et al., (2020). FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems. Journal of Open Source Software, 5(49), 1904, https://doi.org/10.21105/joss.01904

Topics & Concepts

AccountabilityToolboxComputer scienceTransparency (behavior)Python (programming language)HarmCertificationMachine learningComputer securityAlgorithmArtificial intelligenceProgramming languagePsychologySocial psychologyLawPolitical scienceAdversarial Robustness in Machine LearningExplainable Artificial Intelligence (XAI)Machine Learning and Data Classification