Black is the new orange: how to determine AI liability

Paulo Henrique Padovan; Clarice Marinho Martins; Chris Reed

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Black is the new orange: how to determine AI liability

机译：Black is the new orange: how to determine AI liability

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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 difficu 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.

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《Artificial intelligence and law》 |2023年第1期|133-167|共35页
作者
Paulo Henrique Padovan; Clarice Marinho Martins; Chris Reed;
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作者单位

Universidade Federal de Pernambuco UFPE;

Catholic University of Pernambuco (UNICAP)||Visiting Scholar 2019/2020 at the Centre for Commercial Law Studies, Queen Mary University of London;

Centre for Commercial Law Studies, Queen Mary University of London;

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原文格式 PDF
正文语种英语
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关键词
Explainable artificial intelligence (XAI); Explainability; Liability;

Black is the new orange: how to determine AI liability

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