💡 A few weeks ago, I posted about #OpenWashing in #AI. What is OpenWashing? 🚨 It’s the practice of labeling content as open source to signal transparency, while the actual openness… leaves much to be desired.

🌟 Now, the Open Source Initiative (OSI) has released version 1.0 of its Open Source AI Definition 📜, outlining what it truly means for AI to be #OpenSource.

🔑 Built on the four freedoms of open source software (#OSS) – use, understand, modify, and redistribute – this definition extends these principles to AI systems, including their code, weights, parameters, and documented training data.

📢 The initiative’s goal? Promote transparency 🌍 and enable reproducibility 🔄, ensuring AI systems can be independently reconstructed and adapted. 💡 Open source AI should allow users to build on and adapt models, fostering innovation and trust.

⚖️ While the OSI cannot enforce compliance, it plans to publicly name and shame AI models that falsely claim open source status. This move could influence policy, including the EU’s AI Act🇪🇺, which introduces exemptions and obligations for open-source AI.

✨ Will this definition shape global legislative approaches? Only time will tell. ⏳

While the OSI can’t enforce compliance, it plans to publicly name and shame AI models falsely claiming open-source status. This bold move could influence policies like the EU’s AI Act 🇪🇺, which includes exemptions and obligations for open-source AI.

✨ Will this definition shape legislative approaches? Only time will tell. ⏳

📖 Read the OSI’s definition here: The Open Source AI Definition – 1.0