AI Risk in Liability Insurance
When an AI system causes harm, the question is which liability policy answers. This specialization traces AI failure across general liability, professional liability and tech E&O, product liability and D&O, so you can see which trigger responds, where the wordings disagree, and where the insured is left carrying the loss.
Place an AI loss on the liability line that answers
This specialization assumes you already work in casualty or management liability. It builds on that, showing how AI failure moves across the liability lines, where the wordings overlap or gap, and how to underwrite and settle the risk that follows.
- Map an AI failure to the liability line most likely to respond: general liability, professional liability and tech E&O, product, or D&O.
- Explain how negligent AI-assisted advice or a service becomes a professional liability claim, and where tech E&O and PI overlap or leave a gap.
- Judge when an AI-enabled product defect triggers product liability, and how a wording treats a model as a product or as software.
- Recognise the D&O exposure from AI governance failures and from overstated claims about AI capability.
- Ask the questions on a submission that reveal how the insured builds, buys and supervises AI across its operations.
Seven lessons, about eight to ten hours
Self-paced and on demand. Each lesson ends with a short knowledge check; a final assessment, earns the certificate of completion.
01 Liability when a machine decides
How AI shifts the duty, the breach and the causation questions that liability turns on, and why an autonomous or assisted decision complicates who is answerable for the harm.
02 General liability and AI
Bodily injury and property damage from AI-driven operations, and the occurrence question when the cause is a model rather than a person or a piece of plant.
03 Professional liability and tech E&O
Negligent AI-assisted advice and services, and the overlap and gaps between professional indemnity and technology errors and omissions when the tool did part of the work.
04 Product liability and AI
Defective models, product versus software in the wording, and the shift from user error to design defect when the product decides for itself.
05 D&O and AI governance
Board oversight of AI, disclosure and AI-washing, and the securities and management exposure when what the company said about its AI does not match what it did.
06 Where the liability lines meet and miss
The silent gaps between general liability, professional liability, product and D&O when a single AI loss crosses more than one of them, and no policy clearly owns it.
07 Underwriting, wording and the final assessment
The submission questions and the affirmative or excluding language that keep the exposure where you intend it. Ends with the final assessment that earns your certificate of completion.
Built for the desk that writes liability
This is a specialization, not an introduction. It assumes a working knowledge of casualty or management liability cover and builds the AI layer on top, so you can price, place and settle the risks where AI has changed who is liable.
Casualty underwriters
You write general liability, professional liability or product and want to see where AI failures land on your triggers.
Liability brokers
Your clients deploy AI in their advice, products and decisions, and ask whether they are covered when it goes wrong.
Claims and coverage
You need to place an AI-driven liability loss on the right policy and reason about the disputes between them.
One specialization in a larger certification
AI Risk in Liability Insurance is one of the 4 elective specializations in the CAIIP certification, the Certified AI Insurance Practitioner. You complete the core courses, choose one specialization - this one counts - and pass the proctored exam. CAIIP is coming 2026.
AI Foundations
View courseUnderstanding AI Risks and Exposures
View courseGoverning and Managing AI Risk
View courseAssessing and Insuring AI Exposure
View courseAI Risk in Cyber Insurance
View courseAI Risk in Liability Insurance
AI Risk in Property Insurance
View courseAI Risk in Motor and Autonomous Systems
View courseAbout this certificate course
No. AI Risk in Liability Insurance is a certificate course, which is shorter than a certification. You earn a certificate of completion, not a certification credential.
Not to take this course. It is an elective specialization and stands on its own. To earn the CAIIP certification you complete the four core courses plus one elective specialization, and this course counts as that elective.
Yes. The course earns CIA CE credits, which count toward keeping a Cyber Insurance Academy certification current. The exact credit value is being confirmed.
General liability, professional liability and technology errors and omissions, product liability, and directors and officers. The focus is where an AI failure moves the exposure between them.
There is a final assessment. Each lesson has a short knowledge check along the way, and the final assessment confirms you are ready for the certificate of completion.
Know which liability policy answers for an AI loss
About eight to ten hours to a working view of AI across general liability, professional liability, product and D&O. A certificate course, and a CAIIP elective specialization.