Lee, Zhao Yan and Karim, Mohammad Ershadul and Ngui, Kevin (2021) Deep learning artificial intelligence and the law of causation: Application, challenges and solutions. Information & Communications Technology Law, 30 (3). pp. 255-282. ISSN 1360-0834, DOI https://doi.org/10.1080/13600834.2021.1890678.
Full text not available from this repository.Abstract
Artificial Intelligence technology has rapidly advanced in this era. Many of the AI appliances nowadays have been infused with abilities to self-develop their knowledge and self-enhance their operational precision through machine learning. The emergence of deep learning technology, a sub-set of machine learning, which observes AI mimicking after the way a human brain functions, presents an even more revolutionary step towards perfecting AI's accuracy, precision and efficiency. Similar to a human brain, the cognitive process of the deep learning AI, through its artificial neurons, is not decipherable. This presents a fundamental legal / constitutional problem for most jurisdictions across the world, where any errors or mistakes made by the concerned AI algorithm, are attributable to none other than itself. This research identifies major issues in relation to the application of the law of causation in an AI's case, in effort to propose solutions in this dilemma of justice.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Subjects: | K Law > K Law (General) |
| Divisions: | Faculty of Law |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 24 May 2022 02:45 |
| Last Modified: | 24 May 2022 02:45 |
| URI: | http://eprints.um.edu.my/id/eprint/34958 |
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