AI devices and liability

Kene Boun My, Julien Jacob and Mathieu Lefebvre

Working Papers of BETA from Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg

Abstract: We propose a new theoretical framework to analyze the incentives provided by different allocations of liability in the case of (semi)autonomous devices which are a source of risk of accident. We consider three key agents, an AI provider (scientist), a producer and a consumer, and look at the effect of different rules of sharing liability on the decision making of each type of agent. In addition we test the theoretical predictions in an original lab experiment. We show that liability on the scientist and the producer is efficient in reducing their misbehaviors. We also find that liability on the consumer increases her incentives to control the risk of an accident (in case of a semi-autonomous device). However, the absence of consumer’s control (full autonomous device) and liability decreases the consumer’s propensity to buy the good. We complete our study by making a social welfare analysis. It highlights the importance of letting the producer liable in order to provide the consumer with confidence in the technology, especially in the case of a full autonomy of the good.

Keywords: AI; Liability Sharing Rules; asymmetric information; lab experiment. (search for similar items in EconPapers)
JEL-codes: C91 D82 K13 K32 (search for similar items in EconPapers)
Date: 2024
New Economics Papers: this item is included in nep-ain, nep-exp and nep-law
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Persistent link: https://EconPapers.repec.org/RePEc:ulp:sbbeta:2024-24

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