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Artificial Intelligence and Law

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15.01.2022 | Original Research

Black is the new orange: how to determine AI liability

verfasst von: Paulo Henrique Padovan, Clarice Marinho Martins, Chris Reed

Erschienen in: Artificial Intelligence and Law | Ausgabe 1/2023

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Abstract

Autonomous artificial intelligence (AI) systems can lead to unpredictable behavior causing loss or damage to individuals. Intricate questions must be resolved to establish how courts determine liability. Until recently, understanding the inner workings of “black boxes” has been exceedingly difficult; however, the use of Explainable Artificial Intelligence (XAI) would help simplify the complex problems that can occur with autonomous AI systems. In this context, this article seeks to provide technical explanations that can be given by XAI, and to show how suitable explanations for liability can be reached in court. It provides an analysis of whether existing liability frameworks, in both civil and common law tort systems, with the support of XAI, can address legal concerns related to AI. Lastly, it claims their further development and adoption should allow AI liability cases to be decided under current legal and regulatory rules until new liability regimes for AI are enacted.

Vorheriger Artikel Counterfactuals for causal responsibility in legal contexts

Nächster Artikel Lawmaps: enabling legal AI development through visualisation of the implicit structure of legislation and lawyerly process

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Titel: Black is the new orange: how to determine AI liability
verfasst von: Paulo Henrique Padovan
Clarice Marinho Martins
Chris Reed
Publikationsdatum: 15.01.2022
Verlag: Springer Netherlands
Erschienen in: Artificial Intelligence and Law / Ausgabe 1/2023
Print ISSN: 0924-8463
Elektronische ISSN: 1572-8382
DOI: https://doi.org/10.1007/s10506-022-09308-9

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