HarmonyVote

Initiative Title: Open-Source Artificial Intelligence Advancement Act

Description:

1. Public Funding for Open-Source AI Research:
   Allocate government grants and international funding to academic and nonprofit institutions that develop AI systems under permissive open-source licenses (e.g. Apache, MIT, GPL). Emphasize transparency, explainability, and ethical design.

2. Open Infrastructure and Tooling Ecosystems:
   Invest in shared public infrastructure—including compute resources, datasets, and developer tools—that supports open-source AI model training, testing, and benchmarking.

3. Global AI Collaboration Hubs:
   Establish international AI collaboration centers where researchers, students, and developers can co-create open-source models and standards across borders and languages.

4. Ethical and Transparent Model Governance:
   Require open-source AI projects receiving public support to adopt governance structures ensuring transparency, bias mitigation, data privacy, and alignment with human rights principles.

5. Open Dataset Standards and Accessibility:
   Promote the creation and maintenance of high-quality, multilingual, ethically sourced datasets available for research and training purposes, with guidelines for anonymization and representational fairness.

6. AI Literacy and Developer Training Programs:
   Support global programs to train diverse developers and researchers in open-source AI principles, reproducibility, and safety. Offer fellowships, hackathons, and mentorship opportunities.

7. Global Repository and AI Commons Registry:
   Create an international platform cataloging verified open-source AI projects, models, and research papers to prevent duplication, ensure reproducibility, and promote discoverability.

8. Legal and Licensing Support:
   Offer legal guidance and protections for contributors to open-source AI projects, including on intellectual property, liability, and compliance with open licenses.

Possible Outcomes and Implications:

• Democratization of AI Development: Empowers small teams and underrepresented regions to participate in AI advancement without needing proprietary tools or funding.
• Safer and More Transparent AI Systems: Open access allows for public auditing, stress-testing, and accountability in model behavior and impact.
• Faster Innovation Through Collaboration: Shared tools and codebases accelerate progress while reducing redundant efforts.
• Resilient Digital Sovereignty: Reduces dependency on monopolistic corporate platforms by building local and global AI capacity.
• Inclusive Economic Growth: Supports startups, universities, and public interest applications in applying AI to health, education, climate, and more.

Votes: