Cybernetic Intelligence in Intellectual Property Law: AI-Driven Innovation, Detection, and Ethical Challenges
- Title
- Cybernetic Intelligence in Intellectual Property Law: AI-Driven Innovation, Detection, and Ethical Challenges
- Creator
- Mohanta, Abhinash; Garikapati, Kyvalya; Shreya, S.; Biswal, Nikita; Kanungo, Akankshya
- Description
- This paper explores the transformative role of cybernetic intelligence in intellectual property (IP) law, including its integration in critical areas, such as registration, intellectual property infringement detection, innovation protection, and dispute resolution. IP processes are being reshaped by the introduction of cybernetic systems that improve process efficiency and accuracy in registration and by advanced algorithms that revolutionise the detection of violations. In particular, the paper explores the ethical challenges raised about AI driven innovation like ownership of work created by AI, biases of automated systems and risking monopoly. Further, it analyses the potential of cybernetic tools for dispute resolution that blends data knowledge with Peoples judgement to the point of fairness. The paper emphasises ethical, legal implications, proposing robust AI regulatory frameworks, transparency and accountability when deploying AI.
- Source
- Modern Perspectives on Artificial Intelligence and Law;pp.89-124
- Date
- 01-01-2025
- Publisher
- IGI Global
- Coverage
- Mohanta A., KIIT University, India; Garikapati K., KIIT University, India; Shreya S., KIIT University, India; Biswal N., Christ University, India; Kanungo A., Christ University, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-836939578-3; 979-836939576-9;
- Format
- online
- Language
- English
- Type
- Book chapter
Collection
Citation
Mohanta, Abhinash; Garikapati, Kyvalya; Shreya, S.; Biswal, Nikita; Kanungo, Akankshya, “Cybernetic Intelligence in Intellectual Property Law: AI-Driven Innovation, Detection, and Ethical Challenges,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25138.
