AI and Robotics: Charting the Legal Terrain of Patent Protection

  • Sreelakshmi M.S.
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  • Sreelakshmi M.S.

    Research Scholar at Inter University Centre for IPR Studies, CUSAT, India

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The rapid advancements in Artificial Intelligence (AI) and robotics are reshaping various sectors, prompting a reevaluation of intellectual property (IP) laws. This paper explores the intersection of AI, robotics, and IP, examining challenges and strategies in patenting AI innovations. As AI increasingly autonomously generates inventions, questions arise regarding patentability, inventorship, disclosure, and standardization. Novelty and inventive step criteria require scrutiny, with AI's ability to review prior art challenging traditional standards. Patent eligibility of AI inventions, particularly those involving human-computer interfaces, faces complexities under US law, necessitating precise claim drafting. Inventorship poses a dilemma as AI-generated inventions lack human inventors, raising legal and practical issues. Disclosure requirements become intricate with rule-based AI and artificial neural networks, potentially limiting patent scope. Standardization in wireless communication technologies for robotics necessitates navigating complex patent landscapes and disputes over essential patents. The conclusion emphasizes the evolving AI-IP landscape's impact on industries and the need for balanced IP regulations to accommodate technological shifts. The paper underscores the necessity for legal adaptations to address the growing influence of AI on inventive processes and the challenges it poses to the patent system. By analyzing the hurdles faced by innovating technologies, particularly in robotics and AI, the study highlights the importance of tailored legal strategies to protect AI-based innovations amidst evolving IP frameworks.


Research Paper


International Journal of Law Management and Humanities, Volume 7, Issue 3, Page 2816 - 2824


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This is an Open Access article, distributed under the terms of the Creative Commons Attribution -NonCommercial 4.0 International (CC BY-NC 4.0) (, which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.


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