AI systems must align with ethics, privacy, security, and regulation. A governance checklist helps organizations track progress across regulatory compliance (HIPAA, GDPR, CCPA, SOC 2, ISO 27001), bias and fairness, transparency, and risk management. Without a structured approach, gaps emerge late—during audits or incidents—when remediation is costly.
Industry-specific requirements vary: financial services face model risk management and fair lending; healthcare must address HIPAA and clinical validation; legal and government have additional transparency and accountability needs. This checklist maps items to regulations so you can prioritize and demonstrate progress to auditors and boards.
Chief Risk Officers, compliance leads, and AI governance teams in regulated industries. Use it to assess governance maturity, map requirements to regulations, and prioritize remediation. Especially relevant for financial services, healthcare, legal, and government.
Run the checklist before audits, during AI system reviews, or as part of annual governance cycles. Track completion over time and use the PDF for board and regulator reporting. Contact Infinidatum for more.
An industry-specific checklist covering regulatory compliance, data governance, model governance, risk management, and transparency. Track completion by category, view regulatory mappings, and export a PDF for audits and board reporting.
The PDF includes category completion rates, item-level status, and regulatory mappings. Use it to document governance posture and plan remediation. Contact Infinidatum for more.
This checklist is a starting point template only. It is not legal or regulatory advice. Always have in-house legal/compliance review and adapt for your specific jurisdiction and regulatory requirements. Regulatory requirements vary by country, state, and industry. Consult qualified legal counsel before making compliance decisions.
Generate industry-specific AI governance checklists for Financial Services, Healthcare, and regulated industries. Regulatory compliance mapping and risk assessment.
Configure your governance requirements
Industry-specific compliance and governance items
Minimal governance framework with significant compliance gaps
Establish MRM framework per OCC, FRB, and FDIC guidelines
Ensure AI models comply with ECOA and Fair Lending Act
Comply with Gramm-Leach-Bliley Act data privacy requirements
Comprehensive documentation of model development, validation, and monitoring
Independent model validation before deployment
Regular bias testing and fairness assessment
AI system resilience and disaster recovery plans
Model explainability for high-risk decisions
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