AI is deployed in nearly every industry, and many associated risks are now sharply in focus. As these risks become more consequential, businesses look at insurance coverage.
Why insurance companies should encourage solid AI risk management instead of excluding it
news
AI Compliance
Why it matters
My takeaway: Why insurance companies should encourage solid AI risk management instead of excluding it is a governance signal. The practical read is to map the policy language into controls, audit evidence, ownership, and reporting expectations for deployed AI systems.
Keep exploring
Related research
More curated notes connected through AI Compliance.
Anthropic · framework
Anthropic Responsible Scaling Policy v3.2
Anthropic’s current Responsible Scaling Policy page lists v3.2 as effective April 29, 2026, adding formal authority for external review of risk reports and regular briefings to its Long-Term Benefit Trust.
NIST · framework
NIST AI RMF and Critical Infrastructure Profile
NIST’s AI RMF hub now highlights its April 2026 concept note for a Trustworthy AI in Critical Infrastructure profile, extending the framework toward sector-specific operational risk management.
NIST · framework
Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations
NIST finalizes AI 100-2e2025, providing a terminology and taxonomy for adversarial machine learning across predictive and generative AI systems.