Introduction to Munich Re’s AI insurance solutions

As AI becomes increasingly used by businesses in critical decision-making processes, there is an increased risk that a mistake by an AI model could cause harm, either to the company's operations or to third parties who might be affected by these erroneous AI decisions.

Even the best-trained AI models will make mistakes, due to the probabilistic nature of their predictions. And any error that an AI commits is systematic in nature, meaning it will continue to make these mistakes until they are identified and corrected. However, the question as to how existing insurance policies protect insureds if AI goes wrong is still unanswered. Today, selected players in the insurance market have started to discuss or even launch exclusions in policies for AI-related losses. Conversely, affirmative coverage for AI risks is still sparse, but does exist. The Insure AI team at Munich Re has been insuring the performance risks of AI models since 2018.

This seminar aims to outline the main risks arising from the provision and use of AI, and provide an understanding of what to consider when assessing these exposures for both insurers and insureds. 

• AI risk exposure
  • What can lawsuits and public incidents alleging AI mistakes tell us about liability and AI-related losses?
  • How can AI fail?
  • What are high-level “silent” AI exposures in traditional policies?
  • Can there be accumulation scenarios in insurers’ portfolios?
• Munich Re’s aiSure^TM
  • Product overview and examples
  • Insights into the underwriting and pricing of AI risks

10 April 2025, 3.30 p.m. (CEST)

Deadline for registration

9 April 2025