Governance

https://taxonomy.eticas.ai/risk/governance

Maturity: established

The risk that an AI system lacks adequate structures, policies, or accountability mechanisms to oversee its design, deployment, and use. Weak governance can lead to unclear responsibilities, poor documentation, limited auditability, and failure to align with legal, ethical, or organizational standards.

Also known as: Accountability · Governance & Accountability

System type: ADM and LLM systems
Lifecycle stages: Pre Processing, In Processing, Post Processing

Risk groups

• Accountability — Risks from unclear allocation of responsibility, weak human oversight, and inadequate attribution mechanisms for AI system decisions and their adverse impacts.
• Documentation & auditability — Risks from incomplete, inaccessible, or absent documentation and audit trails.
• Compliance & process — Risks from gaps in organisational processes for ongoing oversight, compliance, and lifecycle management of AI systems — including regulatory compliance, change management, data governance, monitoring and evaluation, remediation of failures, and incident response.

Mappings to external frameworks

Standards & frameworks

Taxonomies & vocabularies