OSAID Timeline Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Source AI Open Source AI OSAID 1.0 Process Timeline Open Weights FAQ Endorsements Open Main Menu THE open source ai definition 1.0 We have released the first stable version of the Definition. Read version 1.0 Deep Dive: AI Podcasts 2022 Welcome to Deep Dive: AI (Stefano Maffulli July, 2022) Copyright, selfie monkeys, the hand of God (Pamela Chestek Aug 16, 2022) Solving for AI’s black box problem (Alek Tarkowski Aug 23, 2022) When hackers take on AI: Sci-fi – or the future? (Connor Leahy Aug 30, 2022) Building creative restrictions to curb AI abuse (David Gray Widder Sep 6, 2022) Why Debian won’t distribute AI models any time soon (Mo Zhou Sep 13, 2022) How to secure AI systems (Bruce Draper Feb 9, 2023) Deep Dive: AI Panels 2022 Exploring the business side of AI (Astor Nummelin Carlberg, David Kanter, Sal Kimmich, Stella Biderman, Alek Tarkowski October 11, 2022) Exploring the society side of AI (Kat Walsh, Luis Villa, Carlos Muñoz Ferrandis, Kit Walsh October 13, 2022) Exploring the legal side of AI (Pamela Chestek, Jennifer Lee, Danish Contractor, Adrin Jalali October 18, 2022) Exploring the academia side of AI (Chris Albon, Ibrahim Haddad, Mark Surman, Amy Heineike October 20, 2022) Deep Dive: AI Webinars 2023 Deep Dive: AI Webinar Series (September, 2023) The Turing Way Fireside Chat: Who is building Open Source AI? (Jennifer Ding, Arielle Bennett, Anne Steele, Kirstie Whitaker, Marzieh Fadaee, Abinaya Mahendiran, David Gray Widder, Mophat Okinyi) Operationalising the SAFE-D principles for Open Source AI (Kirstie Whitaker, David Leslie, Victoria Kwan) Commons-based data governance (Alek Tarkowski, Zuzanna Warso) Preempting the Risks of Generative AI: Responsible Best Practices for Open-Source AI Initiatives (Monica Lopez) Data privacy in AI (Michael Meehan) Perspectives on Open Source Regulation in the upcoming EU AI Act (Katharina Koerner) Data Cooperatives and Open Source AI (Tarunima Prabhakar, Siddharth Manohar) Fairness & Responsibility in LLM-based Recommendation Systems: Ensuring Ethical Use of AI Technology (Rohan Singh Rajput) Challenges welcoming AI in openly-developed open source projects (Thierry Carrez, Davanum Srinivas, Diane Mueller) Opening up ChatGPT: a case study in operationalizing openness in AI (Andreas Liesenfeld, Mark Dingemanse) Open source AI between enablement, transparency and reproducibility (Ivo Emanuilov, Jutta Suksi) Federated Learning: A Paradigm Shift for Secure and Private Data Analysis (Dimitris Stripelis) Should OpenRAIL licenses be considered OS AI Licenses? (Daniel McDuff, Danish Contractor, Luis Villa, Jenny Lee) Copyright — Right Answer for Open Source Code, Wrong Answer for Open Source AI? (McCoy Smith) Should we use open source licenses for ML/AI models? (Mary Hardy) Covering your bases with IP Indemnity (Justin Dorfman, Tammy Zhu, Samantha Mandell) The Ideology of FOSS and AI: What “Open” means to platforms and black box systems (Mike Nolan) Deep Dive: Data Governance Webinars 2025 Deep Dive: Data Governance (October, 2025) Opening Keynote: Data is the Key to Open Source AI (Stefano Maffulli) A Data Pathway to Building Public AI (Alek Tarkowski) Governments as Data Providers for AI (Neil Majithia) Copycats and the Commons (Natalia-Rozalia Avlona, Veronika Cheplygina, Amelia Jiménez Sánchez) Sovereign by Design: A Blueprint for Federated, Consent-Based AI Systems (Sal Kimmich) Keynote: Trends and Insights of China’s Open Source Ecosystem in the AI Era (Nadia Jiang & Emily Chen) New Licensing Initiatives for AI Training Data (Ramya Chandrasekhar) How Data Provenance Powers Trustworthy AI (Lisa Bobbitt) The CLeAR Documentation Framework for AI Transparency (Kasia Chmielinski, Chris Kranzinger, S. Newman) Anticipatory Bias Governance in AIED: From Reactive Detection to Proactive Design (Chaeyeon Lim) Keynote: What Should Open Source AI Aspire to Be? (Stefan Baack & Kasia Odrozek) Building Public Data for LLMs (Stella Biderman) A new paradigm for publishing library collections: Institutional Books 1.0, a 242B token dataset (Greg Leppert, Matteo Cargnelutti, Catherine Brobston) Beyond Extraction: Building Community-Centered Speech Data (Jessica Rose) Saving What’s Ours: The Data Rescue Project (Lynda Kellam & Mikala Narlock) OSAID Conferences and Meetings 2023/2024/2025 June, 2023 First OSAID Meeting (Jun. 2023 San Francisco) Towards a definition of “Open Artificial Intelligence” (OSI Board members, Mozilla Foundation, Creative Commons, Wikimedia Foundation, Internet Archive, Linux Foundation Europe, OSS Capital) July, 2023 FOSSY (Jul. 13-15, 2023 Portland) Workshop – Defining Open Source AI (Stefano Maffulli) Campus Party Brazil (Jul. 25-29, 2023 Sao Paulo) The future of Artificial Intelligence: Sovereignty and Privacy with Open Source (Nick Vidal, Aline Deparis) Open Source Congress (Jul. 27-28, 2023 Geneva) Panel: Does AI Change Everything? What is Open? Liability, Ethics, Values? (Stefano Maffulli, Joanna Lee, Satya Mallick, Mohamed Nanabhay, Ibrahim Haddad) Defining “Open” AI/ML (Stefano Maffulli) September, 2023 Open Source Summit Europe (Sept. 19-21, 2023 Bilbao) Panel Discussion: Why Open Source AI Matters: The EU Community & Policy Perspective (Justin Colannino; Astor Nummelin Carlberg; Ibrahim Haddad; Sachiko Muto; Stefano Maffulli) Interview: The New Stack (Stefano Maffulli, Alex Williams) Interview: TFiR (Stefano Maffulli, Swapnil Bhartiya) Nerdearla (Sept. 26-30, 2023 Buenos Aires) Celebrating 25 years of Open Source (Nick Vidal) October, 2023 All Things Open (Oct. 15-17, 2023 Raleigh) Workshop: Open Source AI definition: preview, feedback and working session (Mer Joyce, Stefano Maffulli) Latinoware (Oct. 18-20 Foz do Iguacu) The future of Artificial Intelligence: Sovereignty and Privacy with Open Source (Nick Vidal, Aline Deparis) Linux Foundation Member Summit (Oct. 24-26, 2023 Monterey) Workshop: Define Open AI (Stefano Maffulli, Mer Joyce) Why Open Source AI Matters: The Community & Policy Perspective (Mary Hardy, Stefano Maffulli, Mike Linksvayer, Katharina Koerner) November, 2023 DPGA Member Meeting (Nov. 14, 2023 Addis Ababa) Workshop: Define “Open AI” (Stefano Maffulli, Nicole Martinelli) December, 2023 AI.dev (Dec. 12-13, 2023 San Francisco) Panel Discussion: Why a Universal Definition of ‘Open Source AI’ is Essential for Humanity (Roman Shaposhnik, Tanya Dadasheva, Nithya Ruff, Sal Kimmich) Workshop: Define “Open AI” (Mer Joyce, Ruth Suehle) February, 2024 FOSDEM (Feb. 3-4, 2024 Brussels) Moving a step closer to defining Open Source AI (Stefano Maffulli) Columbia Convening on openness and AI (Feb. 29, 2024 New York) April, 2024 Open Source Summit North America (April 16, 2024 Seattle) The Open Source AI dilemma: Crafting a clear definition for Open Source AI (Mer Joyce, Ofer Hermoni) LLW Gothenburg (April 16, 2024 Gothenburg) May, 2024 PyCon (May 15 -17, 2024 Pittsburgh) OSI Workshop: Open Source AI Definition (Mer Joyce, Stefano Maffulli) CPDP-ai (May 22-24, 2024 Brussels) Challenges and Opportunities of Open-Source Artificial Intelligence (Stefano Maffulli, Felicity Reddel, Igancio Sanchez, Michel-Marie Maudet, Achim Klabunde) June, 2024 OW2conf (June 11-12, 2024 Paris) How were getting the Open Source AI Definition (Stefano Maffulli) OpenExpo Europe (June 13, 2024 Spain) Skynet no será Open Source (Ariel Jolo) AI_Dev Europe (June 19-20, 2024 Paris) The Open Source AI dilemma: Crafting a clear definition for Open Source AI (Ofer Hermoni) July, 2024 OSPOs for Good (July 9-10, 2024 New York) Open Source and AI Panel (Ashley Kramer, Craig Ramlal, Mehdi Snene, Sasha Luccioni, Sergio Gaggo Huerta, Stefano Maffulli) What’s Next for Open Source (July 11, 2024 New York) Open-Source AI: What Is It, Why Does It Matter, and How to Ensure Responsible Openness Moderated by Mer Joyce, Do Big Good & Lea Gimpel, Digital Public Goods Alliance (DPGA) Sustain Africa (July 15, 2024 Online) August, 2024 KubeCon + AI_dev Hong Kong (Aug. 21-23, 2024 Hong Kong) Unveiling the Future: Nurturing Openness in AI Development (Mer Joyce, Anni Lai) Open Source Congress (Aug. 25-27, 2024 Beijing) Datasets, Privacy, and Copyright (Stefano Maffulli, Donnie Dong) The Open Source AI Definition (Stefano Maffulli) September, 2024 Deep Learning Indaba (Sept. 1-7, 2024 Dakar) Open Source AI Definition (Rahmat Akintola) India FOSS (Sept. 7-8, 2024 Bengaluru) Open Source AI Definition (Tarunima Prabhakar) Open Source Summit Europe (Sept. 16-18 , 2024 Vienna) The Open Source AI Definition Is (Almost) Ready (Stefano Maffulli, Justin Colannino) Why Open Source AI Matters for Europe (Justin Colannino, Sachiko Muto, Stefano Maffulli, Cailean Osborne) Nerdearla (Sept. 24-28, 2024 Buenos Aires) Defining Open Source AI (Mer Joyce) October, 2024 Open Forum for AI (Oct. 4, 2024 Washington DC) Open Source AI Definition (Deb Bryant) Training Data in OSAI (Oct. 10-11, 2024 Paris) Workshop (Ignatius Ezeani, Masayuki Hatta, Aviya Skowron, Stefano Zacchiroli, Ricardo Torres, Kristina Podnar, Joana Varon, Renata Avila, Alek Tarkowski, Maximilian Gantz, Stefaan Verhulst, Paul Keller, Thom Vaughn, Julie Hunter, Deshni Govender, Ramya Chandrasekhar, Anna Tumadóttir, Stefano Maffulli) Open Community Experience (Oct. 22-24, 2024 Mainz) Listening, Learning, Leading: The road to the Open Source AI Definition (Stefano Maffulli) Open Source AI and the EU AI Act (Enzo Ribagnac, Gaël Blondelle, Ansgar Lindwedel) All Things Open (Oct 27-29, 2024 Raleigh) Co-designing the Open Source AI Definition (Stefano Maffulli, Mer Joyce) Open Source AI Definition Stable Release Presentation (Stefano Maffulli, Mer Joyce) November, 2024 SFSCON (Nov. 8-9, 2024 Bolzano) Open Source in EU policy (Jordan Maris) Digital Public Goods Alliance Annual Members Meeting (Nov. 13-15, 2024 Singapore) 3rd UNESCO World OER Congress (Nov. 19-20, 2024 Dubai) Open Source AI Definition (Anne-Marie Scott) The Linux Foundation Member Summit (Nov. 19-21, 2024 – Napa) OSI Open Source AI Definition Update and Q&A (Stefano Maffulli) December, 2024 Open Source Experience (Dec. 4-5, 2024 Paris) What is Open Source AI? The Journey to a Definition (Simon Phipps) January, 2025 Paris Open Source AI Summit (Jan. 22, 2025 – Paris) Defining Open Source AI: Opportunities, Challenges, and Success Stories EU Open Source Policy Summit (Jan. 31, 2025 – Brussels) AI Panel Opening Statement (Stefano Maffulli) February, 2025 EU Open Source Policy Summit (Jan. 31, 2025 Brussels) AI Panel Opening Statement (Stefano Maffulli) FOSDEM (Feb. 1-2 , 2025 Brussels) An Introduction to the Open Source AI definition (Stefano Maffulli) Why Europe needs the OSAID: Openwashing and the AI act (Jordan Maris) Workshops: DSA / AI / CRA (Jordan Maris) Panel Discussion: Open Source and Policy Implementation: Lessons from the AI act, CRA and DSA (Simon Phipps, Tobie Langel, Filipe Jones Mourao) AI Action Summit (Feb. 10-11, 2025 – Paris) AI Transparency & Open Models (Stefano Maffulli, Aurélie Simard, Gaspard Demur, Agata Ferretti, Fabio Porto, Nayat Sanchez Pi, Abhishek Singh) March, 2025 Yale Summit on State AI Legislation (Mar. 14-15, 2025 – New Haven, CT) Panel: AI on the Ground: Perspectives from Open-Source Developers (Katie Steen-James) Linux Foundation Member Summit (Mar. 18-19, 2025 Napa) Power To the Data Creators: Building Ethical and Inclusive Open Source AI Through Data Governance (Tracy Hinds) May, 2025 GOSIM AI Paris (May 6-7, 2025 – Paris) June, 2025 Vivatech (Jun. 11-14 , 2025 Paris) Shared Progress: How Can Open-Sourcing Speed the AI Race? (Stefano Maffulli, Niall Firth, Jean-Baptiste Kempf, Laurent Solly) OW2Con (Jun. 17-18, 2025 – Paris) Workshop: Open Source AI and Higher Education – Responding to the Open Source AI Definition (Patrick Masson, Simon Phip…