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Artificial intelligence: the challenges posed to the law of contract in determining liabilities of parties

Traditional methods of contracting involve, among others, using paper documents and oral communications. The extant laws appreciate these methods of contracting and make provisions for the validity, rights and liabilities of parties. Electronic transaction models make a detour from the established j...

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Format: Article
Published: 2022
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MARC

LEADER 00000njm a2000000a 4500
001 oai:repository.ui.edu.ng:123456789/10821
042 |a dc 
720 |a Araromi, M. A.  |e author 
260 |c 2022 
520 |a Traditional methods of contracting involve, among others, using paper documents and oral communications. The extant laws appreciate these methods of contracting and make provisions for the validity, rights and liabilities of parties. Electronic transaction models make a detour from the established jurisprudence on contract provided by these extant laws and the court systems. With constant development of technology one-off legal response may sometimes not be enough to address new challenges posed. Artificial intelligence is one of the areas of development in technology that has affected the traditional legal provisions on contract. Machine intelligence has created some challenges in determining the liability of contracting parties, especially where the machine is acting on learned or extraneous data. It is observed that the existing international legal regime by the United Nations, which serves as the authority in resolving international legal matters, is not sufficient to address this problem. This article addresses the effect of artificial intelligence on contract in determining the liability of parties, and suggests a solution. 
024 8 |a 1357-3128 
024 8 |a ui_art_araromi_artificial_2022 
024 8 |a Computer and Telecommunications Law Review 28(4), pp. 87-96 
024 8 |a https://repository.ui.edu.ng/handle/123456789/10821 
245 0 0 |a Artificial intelligence: the challenges posed to the law of contract in determining liabilities of parties