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Autonomous artificial intelligence and uncontemplated hazards : towards the optimal regulatory framework
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Kovač, Mitja
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)
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https://www.cambridge.org/core/journals/european-journal-of-risk-regulation/article/abs/autonomous-artificial-intelligence-and-uncontemplated-hazards-towards-the-optimal-regulatory-framework/459598F65F0886907A5A96F8E7C40ED1
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Abstract
The issue of super-intelligent artificial intelligence (AI) has begun to attract ever more attention in economics, law, sociology and philosophy studies. A new industrial revolution is being unleashed, and it is vital that lawmakers address the systemic challenges it is bringing while regulating its economic and social consequences. This paper sets out recommendations to ensure informed regulatory intervention covering potential uncontemplated AI-related risks. If AI evolves in ways unintended by its designers, the judgment-proof problem of existing legal persons engaged with AI might undermine the deterrence and insurance goals of classic tort law, which consequently might fail to ensure optimal risk internalisation and precaution. This paper also argues that, due to identified shortcomings, the debate on the different approaches to controlling hazardous activities boils down to a question of efficient ex ante safety regulation. In addition, it is suggested that it is better to place AI in the existing legal categories and not to create a new electronic legal personality.
Language:
English
Keywords:
traffic
,
artificial intelligence
,
legislation
,
autonomous artificial intelligence
,
liability
,
risk
,
judgment-poof problem
,
regulatory design timing
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
EF - School of Economics and Business
Publication status:
In print
Publication version:
Author Accepted Manuscript
Year:
2021
PID:
20.500.12556/RUL-127740
UDC:
342.7:007.52
ISSN on article:
1867-299X
DOI:
10.1017/err.2021.28
COBISS.SI-ID:
67406851
Publication date in RUL:
22.06.2021
Views:
2590
Downloads:
565
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Record is a part of a journal
Title:
European journal of risk regulation
Shortened title:
Eur. j. risk regul.
Publisher:
Cambridge University Press
ISSN:
1867-299X
COBISS.SI-ID:
517396249
Secondary language
Language:
Slovenian
Keywords:
promet
,
umetna inteligenca
,
zakonodaja
Projects
Funder:
ARRS - Slovenian Research Agency
Funding programme:
Raziskovalni program
Project number:
P5-0128
Name:
Izzivi vključujočega in trajnostnega razvoja v prevladujoči paradigmi ekonomskih in poslovnih znanosti
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