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AI Research
arXiv CS.AI·May 21·5 min read
The Insurability Frontier of AI Risk: Mapping Threats to Affirmative Coverage, Silent Exposures, and Exclusions
TL;DR
The rise of agentic AI has created challenges for commercial insurance, as some AI-related losses are now covered while others remain unaddressed. This paper categorizes 55 AI threat categories to clarify which risks are insured, which are not, and where gaps exist.
✦ Why It Matters
Engineers and researchers can leverage this framework to better understand insurance implications for AI systems.
Key Takeaways
- Review existing insurance policies for AI coverage gaps.
- Consider developing tailored insurance solutions for AI risks.
- Stay informed about evolving AI threat categories.
- Collaborate with insurers to clarify coverage for AI technologies.
Full Summary
The increasing use of agentic AI—AI systems that operate autonomously—has introduced complexities in commercial insurance coverage. Many existing policies, such as cyber insurance and errors-and-omissions (E&O) insurance, do not adequately address AI-related risks, leading to silent exposures where coverage is unclear.
This study systematically categorized 55 distinct AI threat types, mapping them against current insurance frameworks to identify which risks are covered, which are excluded, and where gaps exist. The methodology involved coding these threats to provide a clearer understanding of the insurability landscape.
Findings indicate that while some AI risks are explicitly covered, many remain ambiguous or excluded, highlighting the need for updated insurance policies. This research has significant implications for insurers and businesses, as it underscores the necessity for tailored insurance solutions that address the unique challenges posed by AI technologies.