Articles
| Open Access |
DOI: LEGAL CAPACITY OF ARTIFICIAL INTELLIGENCE: IS IT POSSIBLE? LEGAL AND MORAL-ETHICAL ASPECT
Iroda Umarova , Lecturer At The Department "Theory Of Law And State", Tashkent State University Of Law, UzbekistanAbstract
This article will discuss the possibility of endowing artificial intelligence with legal capacity in general and the legal regulation of legal relations related to the creation of IP objects with artificial intelligence in the territory of the Republic of Uzbekistan.
Keywords
Artificial intelligence, legal capacity, moral-ethical aspect of AI
References
Kline, Ronald R., Cybernetics, Automata Studies and the Dartmouth Conference on Artificial Intelligence, IEEE Annals of the History of Computing, October–December, 2011, IEEE Computer Society, (citing letters, from Rockefeller Foundation Archives, Dartmouth file6, 17, 1955 etc.
McCarthy, J., Minsky, M., Rochester, N., Shannon, C.E., A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence, 1955
Nilsson, N., The Quest for Artificial Intelligence, Cambridge University Press, 2010
McCorduck, P., Machines Who Think, A.K. Peters, Ltd, Second Edition, 2004.
Moor, J., "The Dartmouth College Artificial Intelligence Conference: The Next Fifty years", AI Magazine, Vol 27, No. 4, pp. 87–89, 2006.
Russell S., Novig P. "Artificial Intelligence: A Modern Approach", 4th edition, 2022.
The Limits of Machine Intelligence (2019). Halina M., Shevlin H., Vold K. and Crosby M. Science & Society, EMBO Reports, e49177.
Умарова, И. 2023. Феминизм: история борьбы за равные права и актуальность движения в современном мире. Общество и инновации. 4, 7/S (авг. 2023), 189–193.
Toward a Feminist Cyberlaw A-ha, in: Feminist Cyberlaw (Meg Leta Jones and Amanda Levendowski, eds.), University of California Press (2023).
Article Statistics
Downloads
Copyright License
Copyright (c) 2024 Iroda Umarova
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.