From transparency to accountability of intelligent systems: Moving beyond aspirations

From transparency to accountability of intelligent systems: Moving beyond aspirations

A number of governmental and nongovernmental organizations have made significant efforts to encourage the development of artificial intelligence in line with a series of aspirational concepts such as transparency, interpretability, explainability, and accountability. The difficulty at present, howev...

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Bibliographic Details
Main Authors: Rebecca Williams, Richard Cloete, Jennifer Cobbe, Caitlin Cottrill, Peter Edwards, Milan Markovic, Iman Naja, Frances Ryan, Jatinder Singh, Wei Pang
Format: Article
Language:English
Published: Cambridge University Press 2022-01-01
Series:Data & Policy
Subjects:
algorithmic systems
autonomous systems
artificial intelligence
machine learning
transparency
accountability
explainability
responsibility
auditability
Online Access:https://www.cambridge.org/core/product/identifier/S2632324921000377/type/journal_article

Internet

https://www.cambridge.org/core/product/identifier/S2632324921000377/type/journal_article

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