AI Algorithms and Trade Secrets: a Legal Exploration of Intellectual Property Rights
Аннотация
The rapid advancement of artificial intelligence has drawn significant attention to the protection of AI algorithms through intellectual property rights (IPR). Of the various forms of IPR, trade secrets have emerged as a key means of protecting proprietary artificial intelligence technologies. This study examines the legal framework for protecting artificial intelligence algorithms as trade secrets, exploring the associated complexities and challenges. Employing a qualitative research design, the paper conducts a comparative legal analysis of case studies and content analysis of relevant legal documents. Key issues identified by the researcher include the tension between trade secret protection and the need for transparency in artificial intelligence, the challenges of enforcing protection due to the technical complexity of its algorithms, and the potential ethical conflicts that arise from prioritising secrecy over public accountability. Additionally, author of the study compares trade secret protection with other forms of IPR, such as patents and copyrights, to evaluate their effectiveness in the artificial intelligence domain. The findings suggest that, while trade secrets offer significant advantages in protecting artificial intelligence algorithms, they also present challenges in ensuring transparency, ethical artificial intelligence development, and innovation. The study concludes with policy recommendations aimed at improving the legal frameworks for trade secret protection while balancing the need for public interest and innovation. The research contributes to the ongoing discourse at the intersection of artificial intelligence, law, and ethics, providing valuable insights for policymakers, legal professionals, and artificial intelligence developers.
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