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Contribution to collective works (Parts of books)
Models of Law and Regulation for AI
Petit, Nicolas  ; De Cooman, Jérôme 
2021 • In Elliott, Anthony (Ed.) The Routledge Social Science Handbook of AI
Peer reviewed
 

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Keywords :
Artificial Intelligence; Regulation; Law; Ethics; Risk; Externality
Abstract :
[en] This Chapter discusses models of law and regulation of Artificial Intelligence (“AI”). The discussion focuses on four models: the black letter model, the emergent model, the ethical model, and the risk regulation model. All four models currently inform, individually or jointly, integrally or partially, consciously or unconsciously, law and regulatory reform towards AI. We describe each model’s strengths and weaknesses, discuss whether technological evolution deserves to be accompanied by existing or new laws, and propose a fifth model based on externalities with a moral twist.
Disciplines :
Law, criminology & political science: Multidisciplinary, general & others
Author, co-author :
Petit, Nicolas ;  Université de Liège - ULiège > Département de droit > Droit européen de la concurrence
De Cooman, Jérôme  ;  Université de Liège - ULiège > Département de droit > Droit européen de la concurrence
Language :
English
Title :
Models of Law and Regulation for AI
Alternative titles :
[fr] Modèles de réglementation pour l'intelligence artificielle
Publication date :
13 July 2021
Main work title :
The Routledge Social Science Handbook of AI
Author, co-author :
Elliott, Anthony
Publisher :
Routledge
Collection name :
Routledge International Handbooks
Peer reviewed :
Peer reviewed

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