Join Our Discord (750+ Members)
Defining AI Governance for Open Source Generative AI with AI Verify Foundation

Defining AI Governance for Open Source Generative AI with AI Verify Foundation

  • Home /
  • Blog /
  • Defining AI Governance for Open Source Generative AI with AI Verify Foundation

Your insight is welcomed: Shaping the Future of Generative AI

As artificial intelligence continues its rapid evolution, a burgeoning field known as generative AI is capturing imaginations. This technology empowers machines to create entirely new text, images, and even sounds, pushing the boundaries of what’s possible. But with great potential comes great responsibility. Recognizing this, the AI Verify Foundation (https://aiverifyfoundation.sg/ ) has released a proposed framework for governing generative AI, seeking public input to ensure its development and deployment benefit all.

AI Verify is an AI governance testing framework and software toolkit that validates the performance of AI systems against a set of internationally recognised principles through standardised tests, and is consistent with international AI governance frameworks such as those from European Union, OECD and Singapore. website

Proposal AI Governance for Generative AI

“AI Governance for Generative AI” , the proposed framework, outlines a comprehensive approach to ensuring generative AI is safe, accountable, and transparent. It emphasizes collaboration amongst various stakeholders, including policymakers, industry leaders, researchers, and the public. This inclusive approach acknowledges the multifaceted nature of AI governance and the need for diverse perspectives to inform responsible development.

The framework highlights several key areas of focus:

  • Data Governance: Responsible use of data fuels AI performance. The framework emphasizes ethical data collection, transparent algorithms, and user agency over their data.

  • Safety and Alignment: Mitigating potential risks is crucial. The framework calls for rigorous testing, incident reporting, and ongoing research to ensure AI outputs align with human values and societal well-being.

  • Accountability and Transparency: Understanding who is responsible for AI outputs is essential. The framework advocates for clear lines of accountability and accessible explanations for AI decisions.

  • Public Good: Balancing innovation with societal benefit is paramount. The framework encourages research and development aimed at addressing global challenges and promoting positive social impact.

While “AI Governance for Generative AI’ provides a solid foundation, public feedback is crucial to refining its effectiveness. Engaging the public in this conversation ensures the framework reflects diverse needs and concerns. It’s about shaping a future where generative AI empowers individuals and fosters a more equitable and sustainable world.

Your Voice Matters

By participating in this open dialogue, you can contribute to shaping the future of generative AI. Consider:

Together, we can ensure generative AI evolves for the benefit of all.

Follow AI Models on Google News

An easy & free way to support AI Models is to follow our google news feed! More followers will help us reach a wider audience!

Google News: AI Models

Subscribe or Contribute

Related Posts

AI Healthcare & Medicine

AI Healthcare & Medicine

Artificial Intelligence in Healthcare & Medicine Artificial Intelligence (AI) has been making significant strides in revolutionizing healthcare, and open source initiatives are playing a crucial role in accelerating progress.

National AI Model Registry

National AI Model Registry

In a world marked by the relentless march of technological progress, the arrival of generative AI models like ChatGPT has been nothing short of revolutionary.

Has the AI Alliance met its match in AI-RAN?

Has the AI Alliance met its match in AI-RAN?

The world of artificial intelligence (AI) is heating up, not just with technological advancements, but with a brewing battle between two powerful alliances: the AI Alliance and AI-RAN (Radio Access Networks).