Article

Abstraction, Validation, and Generalization for Explainable Artificial Intelligence

2021-06-08

Abstract excerpt

Neural network architectures are achieving superhuman performance on an expanding range of tasks. To effectively and safely deploy these systems, their decision-making must to be understandable to a wide range of stakeholders. Methods to explain AI have been proposed to answer this challenge, but a lack of theory impedes the development of systematic abstractions which are necessary for cumulative knowledge gains....

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Literature Corpus work: 3320f2a6-ba4f-5ec0-9c8a-2b4cf3f90adb
DOI: 10.22541/au.162316990.08773187/v1

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