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What are the intellectual property implications of AI?

Quick Answer

AI raises several IP issues: ownership of AI-generated outputs is legally uncertain in the UK, with current law leaning towards the human who arranged the AI's creation holding copyright. Training AI on copyrighted material without licence may infringe rights. Your proprietary data used in AI systems needs contractual protection. Review AI provider terms to understand IP implications for your content and outputs.

Summary

Key takeaways

  • UK law provides some copyright protection for computer-generated works
  • Ownership of AI outputs depends on the level of human creative input
  • Training AI on copyrighted material without permission risks infringement
  • Review AI provider terms carefully regarding your content and output ownership

Ownership of AI-Generated Content

The ownership of AI-generated content is one of the most complex areas of current IP law. UK copyright law (CDPA 1988) uniquely provides for copyright in computer-generated works, attributing authorship to the person who makes the arrangements necessary for the creation of the work. This provides some protection for AI outputs in the UK that may not exist in other jurisdictions. However, the level of human involvement required to claim authorship remains uncertain. If a user provides a detailed brief, selects from options, and refines the output, their claim to authorship is stronger than if they simply press a button. For business-critical AI outputs, treat ownership as uncertain and put appropriate contractual arrangements in place with AI providers, contractors, and employees. Registration of AI-assisted creative works should be approached with legal advice.

Protecting Your Intellectual Property in AI Systems

When using AI services, protect your intellectual property through several measures. Review AI provider terms carefully: some providers claim broad licences to content you submit, while others explicitly state they claim no rights. Ensure your data processing agreements address IP ownership clearly. When sharing proprietary data with AI systems, understand whether the provider uses your data for model training and opt out where possible. For confidential information, consider local AI deployment where data never leaves your infrastructure. When engaging AI consultancies, ensure contracts clearly assign IP in custom-developed systems to your organisation. Implement internal policies about what proprietary information can be shared with AI tools. Consider trade secret protections for AI-related innovations that may not be patentable.

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FAQ

Frequently asked questions

In the UK, the CDPA 1988 provides copyright protection for computer-generated works. The person who arranges the creation is considered the author. This position is more protective than many other jurisdictions. Seek legal advice for important IP decisions.

The legality depends on jurisdiction and circumstances. The UK has a limited text and data mining exception for research. Commercial training on copyrighted works without licence is legally contested, with ongoing court cases that will shape the landscape.

Use AI providers that do not train on your data, implement access controls, use local deployment for the most sensitive information, and include confidentiality clauses in AI provider agreements. An internal policy should restrict sharing of trade secrets with AI tools.

UK patent law requires a human inventor. AI-generated inventions cannot currently be patented in the UK, as confirmed by the Thaler v Comptroller-General case. However, inventions where AI assisted the human inventor can be patented with the human named as inventor. The law may evolve in this area.

Ownership depends on the base model's licence and your fine-tuning agreement. Fine-tuning a model under a permissive open-source licence typically gives you rights over the fine-tuned weights. Commercial model providers vary in their terms. Review licence terms carefully and seek legal advice for significant investments.

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