AI and Society 36 (2):585-595 (2021)
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Some recent developments in Artificial Intelligence—especially the use of machine learning systems, trained on big data sets and deployed in socially significant and ethically weighty contexts—have led to a number of calls for “transparency”. This paper explores the epistemological and ethical dimensions of that concept, as well as surveying and taxonomising the variety of ways in which it has been invoked in recent discussions. Whilst “outward” forms of transparency may be straightforwardly achieved, what I call “functional” transparency about the inner workings of a system is, in many cases, much harder to attain. In those situations, I argue that contestability may be a possible, acceptable, and useful alternative so that even if we cannot understand how a system came up with a particular output, we at least have the means to challenge it.
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DOI | 10.1007/s00146-020-01066-z |
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References found in this work BETA
Epistemic Injustice: Power and the Ethics of Knowing.Miranda Fricker - 2007 - Oxford University Press.
A Tapestry of Values: An Introduction to Values in Science.Kevin C. Elliott - 2017 - Oxford University Press USA.
AI4People—an Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations.Luciano Floridi, Josh Cowls, Monica Beltrametti, Raja Chatila, Patrice Chazerand, Virginia Dignum, Christoph Luetge, Robert Madelin, Ugo Pagallo, Francesca Rossi, Burkhard Schafer, Peggy Valcke & Effy Vayena - 2018 - Minds and Machines 28 (4):689-707.
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Citations of this work BETA
Algorithmic and Human Decision Making: For a Double Standard of Transparency.Mario Günther & Atoosa Kasirzadeh - 2022 - AI and Society 37 (1):375-381.
Varieties of Transparency: Exploring Agency Within AI Systems.Gloria Andrada, Robert William Clowes & Paul Smart - forthcoming - AI and Society:1-11.
Shared Decision‐Making and Maternity Care in the Deep Learning Age: Acknowledging and Overcoming Inherited Defeaters.Keith Begley, Cecily Begley & Valerie Smith - 2021 - Journal of Evaluation in Clinical Practice 27 (3):497–503.
Ethical Machine Decisions and the Input-Selection Problem.Björn Lundgren - 2021 - Synthese 199 (3-4):11423-11443.
Cognitive architectures for artificial intelligence ethics.Steve J. Bickley & Benno Torgler - forthcoming - AI and Society:1-19.
View all 6 citations / Add more citations
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