Legal Complexities: Ai's Role in Patent Law Challenges amidst the Age of Machine Learning

Abstract

This paper examines the legal ramifications of artificial intelligence (AI) in the field of patent law, with a specific emphasis on practical uses and technological benefits. It emphasizes the significance of detecting and eliminating interdependencies among data items in the intricate domain of AI and ML, facilitating concurrent processing, and averting periods of inactivity. The progress of AI has had a substantial impact on patent law, resulting in the creation of laws specifically tailored to AI-related patents. The paper examines the difficulties associated with obtaining patents for AI-related discoveries, with a specific focus on issues related to identifying the inventors and the eligibility of the patents.The studyexplore issues pertaining to intellectual property, questions about prejudice and fairness, and the need for regulation and governance. The text emphasizes the significance of copyright, patents, trade secrets, and data privacy in safeguarding the progress made in AI and ML. The paper highlights the significance of regulatory frameworks that effectively manage the balance between innovation and user safety. It draws upon ideas from Indian case law and the proposed AI regulatory framework.