Recalibrating Legislative Frameworks to Address Autonomous Innovation and Machine Generated Creativity

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Linda Loring

Abstract

The emergence of autonomous innovation and machine-generated creativity challenges the foundational assumptions of existing intellectual property regimes. Traditional patent and copyright systems were designed around human ingenuity, anthropocentric creativity, and clearly traceable processes of invention. As artificial intelligence systems increasingly generate novel ideas, designs, and solutions without direct human intervention, legislative frameworks face unprecedented uncertainty in defining authorship, inventorship, ownership, and accountability. This paper examines the structural tensions between autonomous machine creativity and legal doctrines rooted in human agency. It evaluates the adequacy of current regulatory approaches, identifies gaps in governance, and proposes pathways for recalibrating legal frameworks to align with the realities of algorithmic innovation. The analysis contends that legal adaptation is essential not only for protecting innovation incentives but also for preserving ethical standards, promoting transparency, and ensuring equitable access to emerging technologies.

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How to Cite
Linda Loring. (2024). Recalibrating Legislative Frameworks to Address Autonomous Innovation and Machine Generated Creativity. Pioneer Research Journal of Computing Science, 1(4), 103–108. Retrieved from https://prjcs.com/index.php/prjcs/article/view/114