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© Indic Pacific Legal Research LLP.

For articles published in VISUAL LEGAL ANALYTICA, you may refer to the editorial guidelines for more information.

New Report: Legal Strategies for Open Source Artificial Intelligence Practices, IPLR-IG-005

We are glad to release "Legal Strategies for Open Source Artificial Intelligence Practices".

This infographic report could not have been possible without the contributions by Sanad Arora, Vaishnavi Singh, Shresh Narang, Krati Bhadouriya and Harshitha Reddy Chukka.


Special thanks to Rohan Shiralkar for motivating me to come up with a paper on such a critical issue. Also, thanks to Akash Manwani and the ISAIL Advisory Council experts for their insights.

This paper addresses as a compendium and a unique report to offer perspectives on legal dilemmas and issues around enabling #artificialintelligence practices which are open-source.

This is an infographic report on building legal strategies for open source-related artificial intelligence practices. This report also serves as a compendium to the key legal issues that companies may face in the AI industry in India, when they would have to go open-source.


A broader introduction of open source systems, and their kinds, and features as widely discussed throughout the infographic report.

An extended analysis of some regulatory dilemmas around the acceptance and invocation of open source systems & practices in India.

  • The Digital Personal Data Protection Act & relevant Non-Personal Data Protection Frameworks

  • Consumer Law Regulations in India

  • The Digital India Act Proposal

  • The Competition Act and the draft Digital Competition Bill, 2024

What are the key legal dilemmas associated with artificial intelligence technologies that make open source practices hard to achieve?

Intellectual Property Issues

  • Copyright Protections

  • Patent & Design Protections

  • Trade Secret Issues

Licensing Ambiguities

  • Licensing Compatibility

  • Licensing Proliferation

  • Modifications & Derivatives

Industrial Viability

What kind of sector-neutral, sector-specific, industrially viable and privacy-friendly practices may be feasibly adopted by AI start-ups and MSMEs?

We have offered recommendations on enabling better open-source practices for AI companies, which are legally viable, due to the absence of regulatory clarity, and despite the risk of regulatory capture & regulatory subterfuge.