Article 1
AI Governance for Insurance Boards
How insurance boards can govern AI strategy, accountability, risk appetite and evidence across the model lifecycle.
Insurance AI regulation, governance and compliance
The Future of AI in Insurance
Ten original articles examining how artificial intelligence is reshaping insurance, risk, regulation and customer outcomes.
Article 2
EU AI Act Readiness for Insurers
A practical readiness framework for insurers aligning AI Act obligations with existing risk and compliance systems.
Article 3
IAIS Principles for Supervising AI in Insurance
What risk-based and proportionate AI supervision means for insurer governance, fairness, security and customer outcomes.
Article 4
Writing an Insurance AI Model Risk Policy
The essential scope, standards, roles and escalation rules for an insurance AI model-risk policy.
Article 5
Fairness and Bias Testing in AI Underwriting
A defensible approach to testing selection, pricing and underwriting AI for unfair outcomes and proxy discrimination.
Article 6
Meaningful Human Oversight in Insurance AI
How insurers can design human review that genuinely controls automated underwriting and claims decisions.
Article 7
Third-Party AI Risk Management for Insurers
Managing vendor AI risk through due diligence, contracts, validation, monitoring, resilience and exit planning.
Article 8
Generative AI Compliance Controls for Insurers
Controls for hallucination, confidentiality, recordkeeping, consumer communication and regulatory use of generative AI.
Article 9
Building an Audit Trail for Insurance AI
What evidence insurers should retain to demonstrate lawful, controlled and effective AI decisions.
Article 10
AI Incident Management for Insurance Companies
How to identify, contain, investigate, report and learn from AI incidents affecting insurance operations or customers.
This collection is educational analysis. Institutions should apply the laws, regulatory rules and professional advice relevant to their jurisdiction and facts.