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What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components (2022)

First Author: Sokol K

Attributed to: Turing AI Fellowship: Interactive Annotations in AI funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.21105/jose.00175

Publication URI: http://dx.doi.org/10.21105/jose.00175

Type: Journal Article/Review

Parent Publication: Journal of Open Source Education

Issue: 58