SFLC.in, in collaboration with Viswam.AI, FOSS United, and The Linux Foundation, is organising an in-person stakeholder consultation titled “Understanding Trust and Safety in AI: From Code to Creativity.” The consultation will bring together experts from policy, industry, open-source communities, creative sectors, and civil society to deliberate on key questions of trust, safety, and accountability in artificial intelligence systems.
Date: Saturday, 31st January 2026
Time: 9:30 AM – 2:00 PM
Venue: Faculty Meeting Room, IIIT Hyderabad
The consultation is structured as two focused roundtable discussions examining:
- Open Source AI and its governance, and
- The relationship between Generative AI and copyright
Roundtable 1: Harnessing Open Source AI
This discussion will examine questions around openness, transparency, governance, and safety in AI systems. It will explore how Open Source AI challenges existing governance models, the role of community-driven development, and pathways for building responsible and trusted AI frameworks in India.
Roundtable 2: Balancing AI and Copyright
This discussion will focus on legal and policy questions surrounding Generative AI and copyright, with reference to the DPIIT Working Paper on Generative AI and Copyright. Participants will deliberate on licensing models, creators’ concerns, and the implications for developers, journalism, and creative industries.
To facilitate informed and constructive engagement during the roundtable discussions, the following readings are suggested as helpful background material:
Reading Material:
Roundtable 1: Harnessing Open Source AI
- “The Open Source AI Definition – 1.0” (Open Source Initiative, October 28, 2024) https://opensource.org/ai/open-source-ai-definition
- “Introducing CC Signals: A New Social Contract for the Age of AI” (Creative Commons, June 25, 2025) https://creativecommons.org/2025/06/25/introducing-cc-signals-a-new-social-contract-for-the-age-of-ai/
- André, C. et al. , AI Openness: A Primer for Policymakers, OECD (August 2025) https://www.oecd.org/content/dam/oecd/en/publications/reports/2025/08/ai-openness_958d292b/02f73362-en.pdf
- Stephano Maffulli, ‘Towards a Definition of Open Artificial Intelligence’(OSI, 13 July 2023) https://blog.opensource.org/towards-a-definition-of-open-artificial-intelligence-first-meeting-recap/
- Alek Tarkowski, OSI, ‘Data Governance in Open Source AI: Enabling Responsible Systemic Access’, Open Future and Open Source Initiative, (Open Source Initiative, 23 January 2025). https://opensource.org/blog/reimagining-data-for-open-source-ai-a-call-to-action
- Seger, Dreksler, Moulange, Dardaman, Schuett, Wei, et al, ‘Open-Sourcing Highly Capable Foundation Models: An Evaluation of Risks, Benefits, and Alternative Methods for Pursuing Open-Source Objectives’ (Centre for the Governance of AI, 2023) https://arxiv.org/pdf/2311.09227.pdf
- Chandra R. Srikanth and Vikas S. N., “AI Pioneer Yann LeCun: India Must Embrace Open Source, Invest in Research to Become an AI Hub Like France,” Moneycontrol, October 23, 2024, https://www.moneycontrol.com/technology/ai-pioneer-yann-lecun-india-must-embrace-open-source-invest-in-research-to-become-an-ai-hub-like-france-article-12849068.html.
Roundtable 2: Balancing AI Innovation and Copyright
- DPIIT Working Paper on Generative AI and Copyright Part 1, ONE NATION ONE LICENSE ONE PAYMENT Balancing AI Innovation and Copyright, https://www.dpiit.gov.in/static/uploads/2025/12/ff266bbeed10c48e3479c941484f3525.pdf
- Shweta Venkatesan, An In-Depth Assessment of the Intersection of AI and Copyright in India, November 2025, Esya Centre. https://static1.squarespace.com/static/5bcef7b429f2cc38df3862f5/t/69295eba637b0319a8125dae/1764318906141/Reupload+-+copyright.pdf
- Guadamuz, Dr. Andres. “A Scanner Darkly: Copyright Liability and Exceptions in Artificial Intelligence Inputs and Outputs.” GRUR International 73, no. 2 (January 13, 2024). https://academic.oup.com/grurint/article/73/2/111/7529098
- Katie Hookins, Opt-in vs Opt-out: Why Consent Frameworks for AI Training Data Matter TrueRights, (Noovember 25, 2025) https://truerights.com/knowledge-hub/opt-in-vs-opt-out-why-consent-frameworks-for-ai-training-data-matter
- Agrawal A, “Why India’s DPIIT Proposal on AI Training Fees Is a Faith-Based Expansion of Copyright Law” https://government.economictimes.indiatimes.com/blog/indias-dpiit-proposal-a-troubling-expansion-of-copyright-law-in-ai/126112525
- Tripathi M, “Can India’s Gamble on AI Royalties Write Global Rules?” ETLegalWorld (December 16, 2025) https://legal.economictimes.indiatimes.com/news/law-policy/indias-innovative-approach-to-ai-royalties-can-it-set-global-precedents/126013477
- Amanda Coelho Della, Fair Compensation for Copyrighted Data Used in AI training, Tilburg University (2024), https://arno.uvt.nl/show.cgi?fid=176944
