Contestable AI by Design
Towards a Framework
Kars Alfrink (TU Delft - Industrial Design Engineering)
A.I. Keller (TU Delft - Industrial Design Engineering)
G.W. Kortuem (TU Delft - Industrial Design Engineering)
N. Doorn (TU Delft - Technology, Policy and Management)
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Abstract
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
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