Generative AI products introduce risks that standard software product liability frameworks were not designed to address. This guide explains what makes these products distinct, the four core insurance risks, and the policies that respond.
What Makes Generative AI Products Different From Other Software
Most software behaves deterministically. Given the same inputs and state, it produces the same outputs. Testing can establish with reasonable confidence that a system behaves as intended.
Generative AI breaks this model in several important ways:
Probabilistic outputs. Large language models do not compute answers - they generate statistically probable sequences of tokens. The same prompt can produce different outputs at different times. No amount of testing can exhaustively validate all possible outputs, and deployed models continue to produce novel responses after launch.
Copyright and training data risk. Where training data included copyrighted works, there is a real and legally contested risk that outputs may reproduce or be substantially derived from copyrighted material. Major copyright cases are progressing through courts in the UK and US, and their outcome will affect the liability position of businesses that deploy these models commercially.
Hallucinations presented as facts. Generative AI systems confidently state things that are false. In professional or regulated contexts - legal advice, medical information, financial guidance - the potential for harm is significant.
Defamatory content risk. A model that generates text about real people can produce content that is defamatory. There are documented cases of AI systems generating false and damaging statements about identifiable individuals.
Each of these characteristics creates insurance exposure that standard software product liability frameworks were not designed to address.
The Key Insurance Risks of a Generative AI Product
Copyright Infringement Claims (Training Data and Outputs)
Copyright claims are one of the defining generative AI product insurance risks. They can arise in two distinct ways.
Training data claims: where a copyright holder alleges that their work was used to train a model without authorisation. These claims are at the frontier of IP law, and liability - including how it is allocated between model developer and deployer - is not yet settled.
Output claims: where a user or third party alleges that AI-generated output reproduces a copyrighted work in a way that constitutes infringement. Even if the underlying model is accessed via API, a company deploying that model commercially may carry liability for infringing outputs it enables.
Defamation or Reputational Harm Caused by AI Outputs
A generative AI product that produces text about named individuals carries defamation exposure. If the product generates a statement that is false and would tend to lower the reputation of an identifiable person, a defamation claim is possible.
This is particularly acute in products that generate profiles, summaries, or reviews. The fact that the content was generated by an AI model rather than a human author does not automatically provide a defence, and the law in this area is still developing.
Hallucination Liability - When AI States False Facts
Hallucination liability is a key generative AI product insurance concern distinct from defamation. The concern is harm suffered by a user or third party who relied on an AI-generated statement of fact that turned out to be false.
Consider a product that cites case law that does not exist. Or a financial information product that states the wrong terms of a bond. Or a healthcare support tool that provides inaccurate dosage guidance. In each case, a user who acts on the information and suffers loss has a potential claim for misrepresentation or negligence. Disclaimers reduce but do not eliminate this risk.
Data Privacy Violations in AI Training Pipelines
Training a generative AI model on data that includes personal information - without appropriate lawful basis, without data minimisation, or without disclosure to data subjects - creates data protection liability under UK GDPR.
This extends to fine-tuning on customer data, retrieval-augmented generation (RAG) architectures that query personal data stores, and any pipeline that processes personal information in the course of model training or inference. The ICO is increasingly active in examining AI-related data processing.
What Insurance Covers These Risks?
Technology Professional Indemnity (Tech E&O)
Technology professional indemnity is the core generative AI product insurance policy. It responds to claims from clients or third parties arising from failures, errors, or harms caused by your product.
This is where specialist policy wording matters most. Some specialist Tech E&O products now explicitly extend coverage to include AI-generated content risks - including copyright infringement through training data and model outputs, and liability arising from hallucinations. This is not universal: standard technology PI policies may retain exclusions for AI-generated content or intellectual property claims that would leave a generative AI product materially underinsured.
A standard tech PI policy may have been appropriate for a conventional SaaS product, but generative AI product insurance requires a specialist approach - standard wording may be inadequate for a product built on a generative AI model. Policy wording should be reviewed carefully, and a specialist broker is typically needed to identify which products genuinely extend to these risks and which do not.
For a complete guide to PI wording for AI developers and how to identify policies with genuine AI extensions, see: Professional Indemnity Insurance for Software Companies and AI Developers.
Media Liability Insurance
Where a generative AI product produces content - text, images, or other media - that could be published or distributed, media liability insurance provides specific cover for defamation, invasion of privacy, intellectual property infringement, and related content claims.
For generative AI products, media liability is worth considering alongside tech PI. It is designed specifically for the risk of published content causing harm, which maps directly onto AI-generated text and imagery.
Cyber Liability Insurance
Cyber insurance covers the breach, regulatory, and business interruption risks associated with cyber incidents. For generative AI products, the most relevant scenarios are breaches of training datasets, attacks on model inference infrastructure, and unauthorised access to customer data processed through the model.
As discussed in our guide to cyber insurance for AI companies, standard policies may not fully address the specific characteristics of AI training data breaches, and specialist wording is available.
Technology Products Liability
Technology products liability covers physical injury or property damage caused by a technology product. For generative AI products deployed in high-risk physical contexts - AI-assisted diagnostics in clinical settings, AI safety systems in industrial environments - this is a meaningful part of the insurance programme.
What the EU AI Act Means for Generative AI Insurance
The EU AI Act creates specific obligations for general-purpose AI (GPAI) models - defined broadly as AI models trained on large amounts of data that can perform a wide variety of tasks. Foundation models accessed via API fall within this definition.
Key obligations with insurance relevance:
Transparency requirements. Providers of GPAI models must document training data and maintain technical documentation. Failure to comply creates regulatory risk - and regulatory investigation costs.
Copyright compliance obligations. GPAI model providers must implement a policy regarding third-party works used in training. For UK-based businesses with EU customers, this creates direct liability exposure in the copyright domain.
High-risk AI classification. Systems deployed in high-risk contexts - healthcare, employment, critical infrastructure - face additional conformity assessment requirements. Non-compliance creates regulatory sanctions exposure.
The UK is taking a principles-based approach rather than legislating a single AI Act. However, UK businesses selling into the EU or processing EU data subjects' data remain subject to the EU Act. The regulatory risk is real and should be reflected in both governance practices and insurance arrangements.
The questions to ask when reviewing your cover:
- Does your Tech E&O policy explicitly extend to AI-generated outputs, including copyright infringement and hallucination liability?
- Does your cyber policy address AI training data breaches specifically?
- Have you considered media liability given your product generates and distributes content?
- Does your D&O cover reflect the regulatory exposure of operating a generative AI product?
See our overview of insurance for AI software companies in the UK for the full picture. For AI liability specifically, see our guide on AI liability insurance in the UK.
For AI startups at fundraising stage, investors specifically scrutinise coverage for generative AI risks. See our guide: Insurance for AI Startups Raising a Funding Round.
Taurus Risk works with generative AI product companies to arrange insurance programmes that address the specific risks of AI-generated content. Speak to our team about specialist insurance for generative AI products.
Frequently Asked Questions
Does standard technology PI cover claims arising from generative AI outputs?
Often not. Standard tech PI policies may exclude or limit cover for AI-generated content, IP claims, and hallucination liability. Specialist policies with explicit AI extensions are needed.
Are companies that build on top of third-party LLMs liable for the model's outputs?
Deploying a commercial product built on a foundation model does not automatically transfer liability to the model provider. The deploying company can face claims for infringing or harmful outputs even where the underlying model is accessed via API.
Does media liability insurance cover AI-generated content?
Media liability is well-suited to content risks - defamation, IP infringement, privacy claims. For generative AI products producing text or imagery, it is worth placing alongside tech PI.
Do disclaimers prevent hallucination liability claims?
Disclaimers reduce but do not eliminate the risk. Where users suffer real loss from reliance on AI-generated statements of fact, claims for misrepresentation or negligence remain possible.
Does the EU AI Act apply to UK generative AI businesses?
If the product is placed on the EU market or its outputs are used in the EU, the Act applies regardless of where the company is based. UK businesses serving EU customers must comply.
Getting Insurance Right for Your Generative AI Product
Generative AI products are not conventional software, and their insurance cannot be conventional either. A programme combining specialist Tech E&O with media liability, cyber, and where relevant products liability, structured around the way your product actually works, is what stands between an emerging business and an uninsured claim.
