Stakeholders

Internal DGA/AFIP areas and external actors (private-sector representatives, chambers, universities, other public agencies) invited to participate or be consulted by the Committee to provide expertise, feedback and collaboration on AI proposals and pilots affecting customs processes.

Relevant parties including affected individuals, domain experts, legal advisers, data stewards, developers, oversight bodies and communication leads who should participate in deliberation, assessment and mitigation of rights impacts. The IAMA stresses multidisciplinary stakeholder involvement in assessment sessions.

Public authorities, higher‑education and research institutions, private sector entities and other relevant actors identified by the Act as participants in working groups, pilot projects and governance activities convened or supported by the Centre. The definition specifies who may engage with Centre activities and benefit from support measures.

All organizations and individuals involved in or affected by AI systems, directly or indirectly, including users, those impacted by AI outcomes, and entities participating in governance or oversight processes.

Stakeholders refer to all parties involved in the development, deployment, and regulation of automated vehicles, including federal, state, and local government agencies, industry manufacturers and developers, academic researchers, and the general public. Their engagement is crucial for informed decision-making.

Stakeholders are broadly categorized to include direct users, expert stakeholders (like developers and operators), certification bodies, and incident investigators. Each group requires varying depths and types of transparency information to understand the autonomous system's behavior and decisions.

Stakeholders in the context of AI systems are any parties that can influence, be influenced by, or perceive themselves to be influenced by decisions or activities related to artificial intelligence. This broad category includes users, developers, product providers, system integrators, data providers, evaluators, auditors, subjects of AI decisions, and relevant regulatory authorities.

Individuals or groups who are affected by or have an interest in autonomous systems. This includes direct users, expert stakeholders (e.g., certification bodies, regulators, investigators), and wider society, each requiring different levels and types of transparency.

Designers, developers, deployers, users, and those affected by an AI system; the term captures all actors with roles, responsibilities, or interests across the AI lifecycle. It is used to allocate governance duties and participation in oversight, impact assessments, and remediation processes.