Building out AI governance primarily starts with which two aspects?

Building out AI governance fundamentally begins with considering both organizational structure and culture. This is because effective AI governance is not just about implementing technology or systems; it involves establishing clear roles, responsibilities, and processes that support ethical AI use and decision-making within an organization.

Organizational structure defines how teams are organized and who has oversight over AI initiatives. This includes identifying key stakeholders such as data scientists, compliance officers, and business leaders who need to collaborate effectively. Additionally, a strong organizational culture fosters an environment where ethical considerations are prioritized, open communication is encouraged, and there is a commitment to responsible AI practices.

When the organizational structure is clear and the culture supports governance principles, it sets the stage for successful AI implementation and compliance with regulations and ethical standards. This foundational element helps ensure that all AI activities align with the organization’s values and strategic objectives.