In the rapidly evolving ecosystem of artificial intelligence (AI), the development and establishment of AI standards has become a pressing necessity. These seek to serve as a set of common guidelines, principles and technical specifications for the development, deployment and governance of AI systems. Providing comprehensive baselines to ensure reliability, ethicality and trust in AI systems, standards can help promote transparency, mitigate risks and address concerns relating to fairness, privacy and accountability. These also play a coordinating role in the increasingly complex AI governance landscape, by facilitating collaboration, consensus and dialogue between stakeholders in the ecosystem.

The Intersection of AI Standards with Governance, Risk, and Compliance