The Intersection of AI Technology and Intellectual Property Adjudication in Supply Chain Management

The Intersection of AI Technology and Intellectual Property Adjudication in Supply Chain Management

Copyright: © 2024 |Pages: 18
ISBN13: 9798369313473|ISBN13 Softcover: 9798369344651|EISBN13: 9798369313480
DOI: 10.4018/979-8-3693-1347-3.ch004
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MLA

Archibong, Esther Edet, et al. "The Intersection of AI Technology and Intellectual Property Adjudication in Supply Chain Management." AI and Machine Learning Impacts in Intelligent Supply Chain, edited by Binay Kumar Pandey, et al., IGI Global, 2024, pp. 39-56. https://doi.org/10.4018/979-8-3693-1347-3.ch004

APA

Archibong, E. E., Ibia, K. T., Muniandi, B., Dari, S. S., Dhabliya, D., & Dadheech, P. (2024). The Intersection of AI Technology and Intellectual Property Adjudication in Supply Chain Management. In B. Pandey, U. Kanike, A. George, & D. Pandey (Eds.), AI and Machine Learning Impacts in Intelligent Supply Chain (pp. 39-56). IGI Global. https://doi.org/10.4018/979-8-3693-1347-3.ch004

Chicago

Archibong, Esther Edet, et al. "The Intersection of AI Technology and Intellectual Property Adjudication in Supply Chain Management." In AI and Machine Learning Impacts in Intelligent Supply Chain, edited by Binay Kumar Pandey, et al., 39-56. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-1347-3.ch004

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Abstract

In modern Nigerian supply chain management, the adjudication of intellectual property rights has gained paramount importance. With the rapid advancement of technology, the integration of AI-powered analytics has emerged as a promising resolution for settling disputes and safeguarding intellectual property rights. This chapter highlights the multifaceted role of AI-driven analytics in the adjudication process, exploring its impact on improving efficiency, precision, and impartiality in resolving disputes related to intellectual property within the Nigerian supply chain. The authors suggest that comprehensive ethical standards, data privacy regulations, and transparency protocols should be established by the government, stakeholders, and law enforcement agencies to mitigate potential biases, ensure data integrity, and ensure adherence to ethical and legal norms in AI technologies.

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