Centro de Mando de Sostenibilidad 15 elementos
AI Governance & Data Ethics ESG Checklist
Esta lista de verificación está en inglés.
Assess responsible AI and data ethics governance as an emerging ESG topic, covering accountability, fairness, transparency, and risk management under ISO/IEC 42001 and the NIST AI RMF.
ISO/IEC 42001:2023NIST AI Risk Management FrameworkOECD AI Principles
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Governance & Accountability
- Is there a board-endorsed responsible AI policy and assigned accountability for AI oversight? *
- Is an inventory of AI systems maintained with risk classification? *
- Are roles, responsibilities, and escalation paths for AI risks defined? *
Data Ethics & Privacy
- Are training and operational data governed for lawful basis, consent, and minimization? *
- Is data lineage, quality, and representativeness assessed to reduce bias? *
- Are privacy-enhancing controls applied to personal data used by AI systems? *
Fairness & Transparency
- Are AI systems tested for bias and disparate impact across affected groups? *
- Is transparency provided to affected users, including disclosure that AI is in use? *
- Is explainability appropriate to the risk level and context of the system? *
Risk Management & Human Oversight
- Are AI-specific risks (safety, security, robustness) assessed before and during deployment? *
- Is meaningful human oversight and the ability to intervene or disable systems ensured? *
- Are high-risk uses evaluated against emerging regulation such as the EU AI Act? *
Monitoring & Disclosure
- Are AI systems monitored post-deployment for drift, incidents, and performance degradation? *
- Is an AI incident response and reporting process in place? *
- Are responsible-AI practices disclosed in ESG or sustainability reporting? *
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