Artificial Intelligence and Legal Liability
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La difficulté de démontrer un manquement au devoir de diligence rend difficile la preuve de faute, qui comprend en principe un élément intentionnel (mens rea).
“Ensuite, la difficulté de démontrer un manquement au devoir de diligence rend aussi difficile la preuve de faute qui comprend -en principe -un élément intentionnel (mens rea, Kingston (2016), p. 278), la question étant de savoir si le manquement au devoir de diligence était volontaire ou involontaire…”
From L’agentivité algorithmique, fiction futuriste ou impératif de justice procédurale ? (2022) · cites this paper as Kingston (2016), p. 278
Cites
Greenblatt, N. A. (2016) · IEEE Spectrum · doi:10.1109/mspec.2016.7419800 · Cited by 107 · see citing works
Criminal Responsibility for the Acts of Another
Sayre, F. B. (1930) · Harvard Law Review · doi:10.2307/1330727 · Cited by 57 · see citing works
The Trojan Horse Defense in Cybercrime Cases
Brenner, S. W., Carrier, B. D., & Henninger, J. (2004) · Santa Clara Law Digital Commons (Santa Clara University) · Cited by 35 · see citing works
The Criminal Liability of Artificial Intelligence EntitiesPreprint
Hallevy, P. G. (2010) · SSRN Electronic Journal · doi:10.2139/ssrn.1564096 · Cited by 34 · see citing works
Tort liability for artificial intelligence and expert systems
Cole, G. S. (1990) · doi:10.5555/91982.91985 · Cited by 26 · see citing works
Liability Issues with Artificial Intelligence Software
Gerstner, M. E. (1993) · Santa Clara Law Digital Commons (Santa Clara University) · Cited by 18 · see citing works
Bulls & bears & bugs: computer investment advisory programs that go awry
Hagendorf, W. A. (1990) · Cited by 3 · see citing works
Warner, E. L. (1990) · Cited by 2 · see citing works
Expert identification and selection: Legal liability concerns and directions
Mykytyn, K., Mykytyn, P. P., & Lunce, S. E. (1993) · AI & Society · doi:10.1007/bf01901818 · Cited by 2 · see citing works
Dobbs, D. B. (2008) · Cited by 1 · see citing works
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Ali, S., Abuhmed, T., El-Sappagh, S., Muhammad, K., Alonso-Moral, J. M., Confalonieri, R., Guidotti, R., Del Ser, J., Díaz-Rodríguez, N., & Herrera, F. (2023) · Information Fusion · doi:10.1016/j.inffus.2023.101805 · Cited by 1,762 · see citing works
Artificial intelligence-enabled healthcare delivery
Reddy, S., Fox, J., & Purohit, M. P. (2019) · Journal of the Royal Society of Medicine · doi:10.1177/0141076818815510 · Cited by 635 · see citing works
Legal and human rights issues of AI: Gaps, challenges and vulnerabilities
Rodrigues, R. (2020) · Journal of Responsible Technology · doi:10.1016/j.jrt.2020.100005 · Cited by 494 · see citing works
A Survey of Methods for Explaining Black Box Models
Guidotti, R., Monreale, A., Ruggieri, S., Turini, F., Giannotti, F., & Pedreschi, D. (2019) · ACM Computing Surveys · doi:10.1145/3236009 · Cited by 629 · see citing works
“This impacts not only information on ethics but also on accountability [59], on safety [23], and on industrial liability [53].”
BackgroundLiability for harm caused by AI in healthcare: an overview of the core legal concepts
Bottomley, D., & Thaldar, D. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1297353 · Cited by 80 · see citing works
“Furthermore, similar to criticism of AI personhood, critics of HITL argue that there is a dif fi culty in determining the correct standard against which to compare the conduct of the AI system (Kingston, 2016).”
BackgroundArtificial intelligence and criminal liability: problems of becoming a new type of crime subject
Vyatka State University, & Mosechkin, I. N. (2019) · Vestnik of Saint Petersburg University. Law · doi:10.21638/spbu14.2019.304 · Cited by 25 · see citing works
Artificial moral agents: should machines take ethical responsibility?
Reiter, P., Norman, U., Weinberger, N., & Bruno, B. (2025) · 2025 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO) · doi:10.1109/arso64737.2025.11124921 · Cited by 2 · see citing works
L’agentivité algorithmique, fiction futuriste ou impératif de justice procédurale ?
Grozdanovski, L. (2022) · Réseaux · doi:10.3917/res.232.0099 · Cited by 2 · see citing works
- Authors
- Kingston, J. K. C.
- Affiliations
- University of Brighton (GB)
- Corresponding author
- Kingston, J. K. C.
- ORCID
- Kingston, J. K. C.
- Venue
- Research and Development in Intelligent Systems XXXIII
- Publisher
- Springer International Publishing
- Published
- 2016
- Pages
- 269-279
- OpenAlex
- W2548509278
- Cited by
- 103
- References
- 10
- Citations by year
- 2026: 7 · 2025: 15 · 2024: 19 · 2023: 13 · 2022: 16 · 2021: 10 · 2020: 8 · 2019: 9 · 2018: 4 · 2017: 2
- FWCI
- 116.83
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- University of Brighton Repository (University of Brighton) (submittedVersion)
- Topics
- Social Sciences › Law › Digitalization, Law, and Regulation
- Social Sciences › Political Science and International Relations › Literary and Philosophical Studies
- Social Sciences › Political Science and International Relations › Artificial Intelligence in Law
- Keywords
- artificial intelligence, legal liability, autonomous vehicles, criminal liability, product liability, negligence, autonomous systems, tort law
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