The EU AI Act requires a risk management system that "shall consist of a continuous iterative process run throughout the entire lifecycle of a high-risk AI system, requiring regular systematic updating". It also requires a compliance management system and a post-market monitoring system. An ISO 42001 AI management system could be designed and implemented for this purpose. 

Putting AI governance into practice requires a holistic and integrated set of arrangements that can be evaluated and directed to create the value and ethical leadership stakeholders expect. People accountable for good governance are responsible for making the changes necessary to deliver the performance required to meet expectations.

The governance of AI systems is not a standalone discipline; rather, it’s an integral component of overall corporate governance. The difference between AI system governance and corporate governance is the resources being leveraged, for example, computing technologies, energy and personal data to achieve the intended purposes and meet stakeholder expectations.

Guide and assist in adopting internal policies and implementing measures that adhere to conditions for the lawful processing of personal information and especially, the principle of data protection by design and by default. Ensure effectiveness and integration of necessary safeguards in data processing.

An artificial intelligence (AI) system architecture is a common basis for the design, development, deployment and operation of artificial intelligence systems. It speaks to the form, appearance, function and location of AI systems in a common language that can be understood and used by providers, product manufacturers, developers, importers, distributors and users alike.

The Certified in the Governance of AI Systems (CGAIS) certification is designed for individuals who are responsible for governing the use of AI systems using moral leadership to create an ethical culture, sustain performance, and create value through the achievement of intended purposes. This credential demonstrates the holder has an appropriate understanding of AI governance.