Rethinking Intellectual Property in the Age of AI: A Policy Framework for Agricultural Biotechnology

Shruti Das; Deepshikha Sharma; Rahi Alhat; Vidhya Praveen Shetty

doi:10.2991/978-94-6239-791-0_31

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Rethinking Intellectual Property in the Age of AI: A Policy Framework for Agricultural Biotechnology

Authors

Shruti Das¹^{, *}, Deepshikha Sharma¹, Rahi Alhat¹, Vidhya Praveen Shetty²

¹Vishwakarma University, Pune, India

²Tilak Maharashtra Vidyapeeth, Pune, India

^*Corresponding author. Email: shruti.das@vupune.ac.in

Corresponding Author

Shruti Das

Available Online 9 October 2026.

DOI: 10.2991/978-94-6239-791-0_31 How to use a DOI?
Keywords: AI-Generated Works; Copyright Authorship; Agricultural Biotechnology; Protein Structure Prediction; Genomic Sequences; Berne Convention; TRIPS; WIPO; India; Multilateral Instrument; Empirical Legal Study
Abstract: Traditionally human authorship is recognized by national copyright legislations and international instruments like Berne Convention, TRIPS Agreement, etc. The notion is now challenged by the advent of Artificial Intelligence. Artificial Intelligence is playing a pivotal role in predicting protein structure with atomic precision and genetic sequences that are improvising modern crop science as well as agricultural biotechnology. These AI generated outputs generated falls into ownership vacuum of human-authorship requirements.

The paper discusses the doctrinal criticism of the existing international framework dealing with copyright protection and Indian Copyright Act, 1957, while elaborating with judicial pronouncement across the globe on copyright protection to exclusion of AI generated scientific outputs. The research also incorporates an empirical study of agri-biotech researchers, policy makers, lawyers on the global practices and how a possible solution to the AI-human generated outputs. The research paper also proposes a framework for a new multilateral instruments that can incorporate innovation incentives with the new age technology.
Copyright: © 2026 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the International Conference on Artificial Intelligence and Machine Learning for Agro-Ecosystems (ICAIML-AE 2026)
Series: Advances in Intelligent Systems Research
Publication Date: 9 October 2026
ISBN: 978-94-6239-791-0
ISSN: 1951-6851
DOI: 10.2991/978-94-6239-791-0_31 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Shruti Das
AU  - Deepshikha Sharma
AU  - Rahi Alhat
AU  - Vidhya Praveen Shetty
PY  - 2026
DA  - 2026/10/09
TI  - Rethinking Intellectual Property in the Age of AI: A Policy Framework for Agricultural Biotechnology
BT  - Proceedings of the International Conference on Artificial Intelligence and Machine Learning for Agro-Ecosystems (ICAIML-AE 2026)
PB  - Atlantis Press
SP  - 419
EP  - 427
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-791-0_31
DO  - 10.2991/978-94-6239-791-0_31
ID  - Das2026
ER  -

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