Virtual Chief Artificial Intelligence Officer

Proper governance requires choosing a framework. We leverage ISO/IEC 42001:2023 to create proper AI governance programs. This standard includes:

• AI Management System (AIMS): The standard assists organizations in developing, providing, or using AI systems responsibly, in line with their objectives and applicable requirements, obligations related to interested parties, and expectations from them.

• Scope and Applicability: It defines the scope and applicability of the standard, as well as the terms and definitions used.

• Context of the Organization: This includes understanding the organization and its context, the needs and expectations of interested parties, determining the scope of the AI management system, and establishing the AI management system.

• Leadership and Commitment: This involves leadership and commitment, policy, roles, responsibilities, and authorities related to the AI management system.

• Planning: Addressing risks and opportunities, establishing objectives and plans, and managing changes related to the AI management system.

• Support: Providing resources, competence, awareness, communication, and documented information related to the AI management system.

• Operation: Involves planning and control, design and development, procurement, operation and maintenance, monitoring and evaluation, and improvement of AI systems within the AI management system.

• Performance Evaluation: Monitoring, measurement, analysis, evaluation, internal audit, and management review of the AI management system.

• Improvement: Involves addressing nonconformity and corrective action, continual improvement, and learning and innovation of the AI management system.

• Ethical Principles: It includes principles of AI ethics such as fairness, accountability, transparency, privacy, security, human dignity, human agency, and social and environmental well-being.