AI Actors

AI actors are individuals and organizations that play active roles in the AI system lifecycle, including those who deploy or operate AI systems. The OECD definition encompasses a broad range of stakeholders with different responsibilities and perspectives.

Primary AI Actors:

• AI Designers: Create concepts, objectives, and requirements during planning and design phases
• AI Developers: Build models and algorithms during the development phase
• AI Deployers: Make contextual decisions about system implementation and use
• Operators and Monitors: Oversee system operation and assess ongoing performance
• TEVV Specialists: Conduct testing, evaluation, verification, and validation throughout the lifecycle

Supporting AI Actors:

• Domain Experts: Provide sector-specific knowledge and context
• Human Factors Experts: Focus on human-AI interaction and user experience
• Impact Assessors: Evaluate societal, legal, and ethical implications
• Governance and Oversight: Provide management and fiduciary responsibility
• Third-party Entities: Supply external data, models, or services

Broader Community:

• End Users: Individuals or groups who directly interact with AI systems
• Affected Communities: Those impacted by AI systems without necessarily using them
• Standards Organizations: Develop norms and guidance for AI risk management
• Civil Society: Advocacy groups, researchers, and public interest organizations

Effective AI risk management requires diverse, interdisciplinary teams and meaningful engagement across all relevant AI actors throughout the AI lifecycle.