The Threats of Artificial Intelligence in Tort: Rhetoric or Reality?
(Ancaman Tort Kecerdasan Buatan terhadap Manusia: Retorik atau Realiti?)
Abstract
Apart from artificial intelligence's (AI) impressive abilities, it cannot avoid errors in judgment. This article intends to explain the weaknesses of the law of tort in addressing the threats of AI. This article also discusses the development of AI in Malaysia in order to assess Malaysia's readiness to face the legal threats caused by AI. The research methodology employed for this article is qualitative in nature. The data referred to in this article is based on the law of tort, previous cases decided by the courts, articles in journals, and online resources. The analysis of the available data concludes that AI has brought about new forms of threats in the realm of the law of tort. At this time, Malaysia has yet to have any legal preparation to face threats from AI. If these weaknesses are left unaddressed, tort victims may face difficulties in future to claim damages against the tortfeasor.
Keywords: artificial intelligence, AI, tort, threats, legal personality
References
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Lentang v Cooper [1965] 1 QB 232
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Omohundro, Stephen M. . (2008). 'The Basic AI Drives-Self-Aware Systems'. Proceedings of the 2008 Conference on Artificial General Intelligece, Amsterdam: IOS Press.
Pagallo, U. (2013). The Laws of Robots: Crimes, Contracts and Torts. Law Governance and Technology Series 10. Springer Dordrecht Heidelberg New York London.
Pagallo, U. (2018). 'Vital, Sophia and Co.-The Quest for the Legal Personhood of Robots'. Information, MDPI Journal.
Parnas, David Lorge. (2017). 'Inside Risks: The Real Risks of Artificial Intelligence, Incidents from the early days of AI research are instructive in the current AI environment', (October 2017), 60 (10) Communications of the Association for Computing Machinery.
Poole, David L. & Mackworth, Alan K. . (2010). Artificial Intelligence-Foundations of Computational Agents. Cambridge University Press, U.K.
Rancangan Malaysia Kesebelas (2016-2020) (2015). Pertumbuhan Berpaksikan Rakyat, 'Bab 8: Memperkayasa Pertumbuhan Ekonomi untuk Peningkatan Kemakmuran', Percetakan Nasional Berhad.
Rothman, Denis. (2018). Artificial Intelligence by Example, 2018, Packt Publishing, Birmingham, U.K.
Russel, Stuart J. & Norvig, Peter. (2010). Artificial intelligence: A modern approach. 3rd Edition, Pearson Education, New Jersey.
Rylands v Fletcher [1868] LNR 3 HR 330
Samantha Sykes, M.B. Dixon, John Elliot, E Guest. (2011). A Neural Network for Counter-Terrorism. Max Bramer, Miltos Petridis, Lars Nolle (Eds.), Research and development in intelligent systems XXVIII. Springer-Verlag London.
Scherer, Matthew U. (2016). Regulating artificial intelligence systems: risks, challenges, competencies, and strategies. Harvard Journal of Law and Technologies, 29.
Silverman, C., Wilson, J. & Goggans, S. (2018). Torts of the Future II: Addressing the liability and Regulatory Implications of Emerging Technologies. U.S. Chamber Institute of Legal Reform.
SoftBank. (2016). Aldebaran becomes SoftBank Robotics. SoftBank Robotics, https://www.softbank.jp/corp/d/group_news/press_20160519_01_en.pdf (20.2.2019).
Solum, Lawrence B. (1992). Legal personhood for artificial intelligences. North Carolina Law Review.
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Published
2020-01-03
How to Cite
ABDUL MANAP, Nazura; ABDULLAH, Azrol.
The Threats of Artificial Intelligence in Tort: Rhetoric or Reality?.
Kanun: Jurnal Undang-undang Malaysia, [S.l.], v. 32, n. 1, p. 1-28, jan. 2020.
ISSN 2682-8057.
Available at: <https://jurnal.dbp.my/index.php/Kanun/article/view/6787>. Date accessed: 20 apr. 2024.
doi: https://doi.org/10.37052/kanun.32(1)no1.
Section
Articles
