Xplore Publications
* Volume 3 of Transformations in Management is open for submissions until 30 August 2026. *

Chapter 44

Artificial Intelligence and Intellectual Property at the Crossroads Harshita Shrivastava

ISBN
978-81-992602-2-0
Published
21 July 2026
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Reading time
~1 min

Full text

ARTIFICIAL INTELLIGENCE AND INTELLECTUAL PROPERTY AT THE CROSSROADS: REGULATING INNOVATION, PRESERVING AUTHORSHIP, AND REIMAGINING JUSTICE The article draws not merely from human insights but from AI's infringing depths of unauthorized information access. A star reality in the global digital domain. While AI delivers creative solutions via single prompt, its dark core infiltrates minds with generative outputs derived from trespassing digital boundaries of apps, websites, tools, published articles, thereby infringing the originality of generated solutions and the rights of painstakingly produced data articles and research. As AI augments fragmented information into simplified forms, intellectual property laws teeters on transformative verge, wild-guessing limitations to restrain AI while up holding legal system integrity and intellectual data sanctity.

Integrating IP with the artificial human mind (AI) proves intriguing yet the core issue hinges on IP’s control extent over AI. This paper proposes modern AI regulation should hinge on IP frameworks to define protectable outputs, enforce accountability and spur new rights like sui generis general safeguards for AI human hybrid legal works. IP serves as the regulatory core by attributing authorship preventing training data infringement and limiting protections to human controlled innovations fostering balanced progress without overreach.

At the same time the paper acknowledges the duality of AI in the legal domain. While it presents risk to procedural integrity and valuation of human craft legal work, it also offers opportunities to revolutionize legal systems. AI has the potential to transcend human emotional biases where paradox between empathy and justice often distorts outcomes, by leverage data driven reasoning to generate effective legal strategies. If properly regulated AI can reduce pendency, enhance efficiency and contribute to more consistent adjudication thereby reshaping the future of legal problem solving.

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