Introduction
Artificial intelligence is increasingly being used across the insurance industry to assess risk, analyse documents, detect suspicious claims and assist with underwriting. These systems can process enormous quantities of information much faster than human teams.
But a new legal question is emerging: what happens when the algorithm gets the insurance claim wrong?
Can an Insurer Blame the Algorithm?
The use of technology does not necessarily transfer legal responsibility from the insurer to the software. The policy remains a contractual relationship between the insurer and policyholder, and the insurer's obligations do not automatically disappear because a decision was assisted or generated by an automated system.
This creates an important governance question: how much human review should be required before a claim is finally rejected?
Transparency Becomes Important
A policyholder challenging an automated decision may need to understand why the claim was rejected. If the decision cannot be meaningfully explained, disputes may arise concerning transparency, evidence and procedural fairness.
The issue becomes particularly important where AI is used to identify fraud or assess complex medical, financial or technical information.
The Future of Insurance Claims
The future is unlikely to be entirely human or entirely automated. A more realistic model is one in which AI performs large-scale analysis while trained professionals remain responsible for consequential decisions.
For insurers, this means AI governance should become part of claims governance.
Key Takeaways
• AI may improve the speed and efficiency of insurance claims processing.
• Automated systems can also create new risks of error and unexplained decisions.
• The insurer cannot necessarily avoid responsibility merely because technology was involved.
• Human oversight may become increasingly important for disputed or high-value claims.
• AI governance is likely to become an important component of insurance regulation and litigation.
Conclusion
The next major insurance dispute may not ask whether a policy covers a particular event. It may ask something more fundamental: who is responsible when a machine decides that the policy does not cover it?
As insurers increasingly adopt artificial intelligence, the law will have to determine how technological efficiency can coexist with contractual accountability. The answer may ultimately be that AI can assist the insurer, but it cannot become a substitute for legal responsibility.
This final article also gives the Insurance Law section a natural bridge into your wider AI, technology and regulatory-law content, which should help build topical depth across the website.
