The Complexity of Criminal Liability of AI Systems
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14220%2F20%3A00122175" target="_blank" >RIV/00216224:14220/20:00122175 - isvavai.cz</a>
Výsledek na webu
<a href="https://journals.muni.cz/mujlt/article/view/12440/11455" target="_blank" >https://journals.muni.cz/mujlt/article/view/12440/11455</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5817/MUJLT2020-1-3" target="_blank" >10.5817/MUJLT2020-1-3</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
The Complexity of Criminal Liability of AI Systems
Popis výsledku v původním jazyce
Technology is advancing atarapid pace. Aswe anticipate arapid increaseinartificial intelligence (AI), we may soon find ourselves dealing with fullyautonomous technology with thecapacity tocause harm and injuries. What then?Who is going tobe held accountable ifAI systems harm us? Currently there is no answer tothis question and theexisting regulatoryframework falls short inaddressing theaccountability regime ofautonomoussystems. This paper analyses criminal liability ofAI systems, evaluated undertheexisting rules ofcriminal law. It highlights thesocial and legal implicationsofthecurrent criminal liability regime asit is applied tothecomplex natureofindustrial robots. Finally, thepaper explores whether corporate liability isaviable option and what legal standards are possible for imposing criminal liabilityonthecompanies who deploy AI systems. Thepaper reveals that traditional criminal law and legal theory are not wellpositioned toanswer thequestions athand, asthere are many practical problemsthat require further evaluation. I have demonstrated that with thedevelopmentofAI, more questions will surface and legal frameworks will inevitably needtoadapt. Theconclusions ofthis paper could be thebasis for further research.
Název v anglickém jazyce
The Complexity of Criminal Liability of AI Systems
Popis výsledku anglicky
Technology is advancing atarapid pace. Aswe anticipate arapid increaseinartificial intelligence (AI), we may soon find ourselves dealing with fullyautonomous technology with thecapacity tocause harm and injuries. What then?Who is going tobe held accountable ifAI systems harm us? Currently there is no answer tothis question and theexisting regulatoryframework falls short inaddressing theaccountability regime ofautonomoussystems. This paper analyses criminal liability ofAI systems, evaluated undertheexisting rules ofcriminal law. It highlights thesocial and legal implicationsofthecurrent criminal liability regime asit is applied tothecomplex natureofindustrial robots. Finally, thepaper explores whether corporate liability isaviable option and what legal standards are possible for imposing criminal liabilityonthecompanies who deploy AI systems. Thepaper reveals that traditional criminal law and legal theory are not wellpositioned toanswer thequestions athand, asthere are many practical problemsthat require further evaluation. I have demonstrated that with thedevelopmentofAI, more questions will surface and legal frameworks will inevitably needtoadapt. Theconclusions ofthis paper could be thebasis for further research.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
50501 - Law
Návaznosti výsledku
Projekt
<a href="/cs/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Masaryk University Journal of Law and Technology
ISSN
1802-5943
e-ISSN
1802-5951
Svazek periodika
14
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
30
Strana od-do
53-82
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85087649303