AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models
Vijay Arya, Rachel Bellamy, Pin‐Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilović, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang
2020Journal of Machine Learning Research55 citations
Topics & Concepts
Computer scienceExtensibilityMachine learningArtificial intelligenceProgramming languageExplainable Artificial Intelligence (XAI)Scientific Computing and Data ManagementMachine Learning and Data Classification