Contestable AI by Design

Contestable AI by Design: Towards a Framework

Alfrink, Kars (TU Delft Internet of Things)
Keller, A.I. (TU Delft Design Conceptualization and Communication)
Kortuem, G.W. (TU Delft Internet of Things)
Doorn, N. (TU Delft Ethics & Philosophy of Technology)

2022

As the use of AI systems continues to increase, so do concerns over their lack of fairness, legitimacy and accountability. Such harmful automated decision-making can be guarded against by ensuring AI systems are contestable by design: responsive to human intervention throughout the system lifecycle. Contestable AI by design is a small but growing field of research. However, most available knowledge requires a significant amount of translation to be applicable in practice. A proven way of conveying intermediate-level, generative design knowledge is in the form of frameworks. In this article we use qualitative-interpretative methods and visual mapping techniques to extract from the literature sociotechnical features and practices that contribute to contestable AI, and synthesize these into a design framework

Artificial intelligence
Automated decision-making
Contestability
Design
Human–computer interaction
Machine learning
Sociotechnical systems

http://resolver.tudelft.nl/uuid:be74f232-8507-4394-b678-f617308158bc

https://doi.org/10.1007/s11023-022-09611-z

0924-6495

Minds and Machines: journal for artificial intelligence, philosophy and cognitive sciences, 33 (4), 613-639

Institutional Repository

journal article

© 2022 Kars Alfrink, A.I. Keller, G.W. Kortuem, N. Doorn