What does a Chief AI Officer do?

The role is new enough that most organisations still define it differently. Behind the variations, though, a seasoned Chief AI Officer owns a consistent set of responsibilities: setting the direction for Responsible AI, building the guardrails, and making sure the whole organisation can adopt AI with confidence.

While the specific allocation of responsibilities varies significantly depending on the organisation and its specific context, in general terms, the responsibilities of a seasoned Chief AI Officer involve:

The core responsibilities

• Define and lead the Responsible AI strategy, setting the vision and goals in line with the organisation's mission and values.
• Develop comprehensive standards, policies, and guidelines for Responsible AI, ensuring compliance with privacy laws, ethical regulations, and internal policies.
• Lead the response to AI-related compliance incidents, including investigations, reporting, and corrective actions.
• Serve as the primary point of contact for staff with questions and concerns relating to AI systems.
• Establish best practices for AI implementation, including dataset and model risk assessments, to be followed by development teams.
• Design controls and ethical boundaries for AI systems, ensuring they are adhered to across the organisation.
• Conduct compliance assessments of proposed AI systems with privacy and ethics regulations, external and internal guidelines, and policies.
• Standardise AI architecture, AI operations, and tools by collaborating with enterprise architecture, data science, and the AI Risk and Ethics Committee.
• Create and implement a training curriculum to educate employees on Responsible AI practices, including data handling, model development, and ethical considerations.
• Allocate resources, budget, and personnel for the adoption and maintenance of standardised AI tools and technologies.
• Conduct quarterly audits and risk assessments to monitor compliance, identifying potential issues and breaches.
• Set key performance indicators and metrics to evaluate Responsible AI initiatives and overall policy compliance.
• Oversee the development of prototypes and proofs of concept, encouraging innovation while maintaining ethical standards.
• Approve and implement corrective actions for non-compliance, ensuring timely resolution and learning from incidents.
• Facilitate collaboration between teams, especially AI/data science and IT, to align on priorities, tool adoption, and issue resolution.
• Ensure regular communication and reporting on AI-related matters to customers, end-users, and stakeholders, fostering transparency.
• Manage and coordinate the response to identified AI system issues, providing prompt updates and solutions.
• Quarterly review and update Responsible AI strategies, policies, and procedures to adapt to evolving industry standards and organisational needs.
• Promote a culture of accountability and continuous improvement regarding Responsible AI practices throughout the organisation.

One role, one point of accountability

Read together, these responsibilities describe a single executive who connects strategy, risk and day-to-day execution. Not every organisation needs all of them on day one, but every organisation using AI needs someone clearly accountable for them.

The value of a Chief AI Officer is not any single task on this list. It is having one person who owns the whole of it.