One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

6 Sep 2019Vijay AryaRachel K. E. BellamyPin-Yu ChenAmit DhurandharMichael HindSamuel C. HoffmanStephanie HoudeQ. Vera LiaoRonny LussAleksandra MojsilovićSami MouradPablo PedemonteRamya RaghavendraJohn RichardsPrasanna SattigeriKarthikeyan ShanmugamMoninder SinghKush R. VarshneyDennis WeiYunfeng Zhang

As artificial intelligence and machine learning algorithms make further inroads into society, calls are increasing from multiple stakeholders for these algorithms to explain their outputs. At the same time, these stakeholders, whether they be affected citizens, government regulators, domain experts, or system developers, present different requirements for explanations... (read more)

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