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Join the Movement: Open Source Initiative and Beyond - Engage in Shaping AI Definitions and Policies!

Join the Movement: Open Source Initiative and Beyond - Engage in Shaping AI Definitions and Policies!

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While open collaboration and the democratization of AI are widely championed ideals, the reality is that much of the discourse is dominated by academia and the tech industry.

With limited public participation and opaque interests in policy-setting, there is a growing need for alternative avenues where individuals, regardless of academic background or employment in tech giants, can actively contribute to shaping AI policies.

1. Open Source Initiative AI Deep Dive

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The Open Source Initiative AI Deep Dive stands as a beacon for those eager to participate in defining the trajectory of AI development. The initiative has recently opened a Discussion Forum to foster dialogue on the Open Source AI Definition. This inclusive platform allows individuals from various backgrounds to share their insights, bridging the gap between academia and practical industry experience.

Moreover, the Open Source Initiative AI Working Group has organized a Town Hall Event on March 8th , providing a valuable opportunity for direct engagement and discussion.

2. NTIA Open Weights RFC

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The National Telecommunications and Information Administration (NTIA) Open Weights RFC is another avenue for public involvement in shaping AI policies. This initiative focuses on developing open standards for AI model weights, emphasizing transparency and accessibility. By commenting on the RFC, individuals can actively contribute to the formulation of guidelines that impact the broader AI community.

3. AI Verify Defining Governance Framework Opens Chat Space

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AI Verify seeks to redefine the governance framework for AI with community input. This initiative emphasizes the importance of diverse perspectives in shaping policies that govern AI systems. By participating in the AI Verify platform, individuals can provide valuable insights into the ethical considerations and governance principles essential for responsible AI development.

In conclusion, these three forums offer tangible opportunities for individuals, irrespective of academic or industry affiliations, to actively participate in shaping AI policies. By fostering open dialogue, transparency, and community engagement, these initiatives strive to democratize the AI landscape and ensure that the future of AI development is shaped by a diverse and inclusive range of voices.

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