AI Governance

As artificial intelligence (AI) continues to evolve and integrate into various facets of society, the need for robust AI governance becomes increasingly critical. Effective AI governance ensures that AI systems are developed, deployed, and used in ways that align with societal values, principles, and laws. New socio-technical standards can reshape how we confront the challenges of governing AI on a global scale by addressing interoperability, explainability and the exponential advancement of AI systems toward greater intelligence and autonomy.

Here are a few of the fundamental questions

• How can governments regulate AI systems that are on a path to regulating themselves?
• How can smarter AI Governance enable fair and equitable services for all individuals and communities?

• How can humans stay in the loop to ensure AI alignment with our values, principles, and laws?
• How do we encode and enforce AI laws directly in AI systems themselves?

As AI technology continues to advance, it is imperative that we establish robust governance structures that promote transparency, accountability, and fairness. By doing so, we can harness the full potential of AI while safeguarding against risks and ensuring that AI serves the best interests of society.