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Autonomous artificial intelligence and uncontemplated hazards : towards the optimal regulatory framework
ID
Kovač, Mitja
(
Avtor
)
PDF - Predstavitvena datoteka,
prenos
(337,91 KB)
MD5: C4DC232613D101D0E317E3F14C8305C7
URL - Predstavitvena datoteka, za dostop obiščite
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
Galerija slik
Izvleček
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.
Jezik:
Angleški jezik
Ključne besede:
traffic
,
artificial intelligence
,
legislation
,
autonomous artificial intelligence
,
liability
,
risk
,
judgment-poof problem
,
regulatory design timing
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
EF - Ekonomska fakulteta
Status publikacije:
V tisku
Različica publikacije:
Recenzirani rokopis
Leto izida:
2021
PID:
20.500.12556/RUL-127740
UDK:
342.7:007.52
ISSN pri članku:
1867-299X
DOI:
10.1017/err.2021.28
COBISS.SI-ID:
67406851
Datum objave v RUL:
22.06.2021
Število ogledov:
2576
Število prenosov:
564
Metapodatki:
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Objavi na:
Gradivo je del revije
Naslov:
European journal of risk regulation
Skrajšan naslov:
Eur. j. risk regul.
Založnik:
Cambridge University Press
ISSN:
1867-299X
COBISS.SI-ID:
517396249
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
promet
,
umetna inteligenca
,
zakonodaja
Projekti
Financer:
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Program financ.:
Raziskovalni program
Številka projekta:
P5-0128
Naslov:
Izzivi vključujočega in trajnostnega razvoja v prevladujoči paradigmi ekonomskih in poslovnih znanosti
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