What Is the AI Provision in a Contract?

An AI provision in a contract sets out the legal and operational framework governing the use, development, and management of artificial intelligence systems between a supplier and a customer. These provisions are critical because AI systems introduce unique legal, ethical, and technical risks that differ from traditional software. Key considerations include defining intellectual property rights over both the underlying AI system and any outputs it generates, clarifying ownership of customer-provided training data, and setting rules on how that data can be used. Contracts should also address the risk of third-party claims, for example, where AI outputs could infringe intellectual property rights, and include appropriate indemnities and liability provisions.

Confidentiality and data protection are central to AI contracts. Customers need assurance that their inputs, outputs, and any customised training data remain confidential and are not used for broader model training unless explicitly authorised. Where personal data is involved, contracts must reflect applicable data protection laws, including provisions for data processing responsibilities, international transfers, and compliance with privacy assessments. Security obligations are equally important, covering breach reporting, system monitoring, and safeguards against AI-specific threats such as model manipulation or malicious data injection.

Ethical and regulatory considerations are increasingly relevant. Contracts should require suppliers to adhere to responsible AI principles, such as transparency, fairness, explainability, and safety, and provide warranties and representations that AI systems are developed and operated in line with these standards. Flexibility is also essential, with clauses allowing updates to the contract in response to evolving legal requirements, changes in applicable law, or emerging regulatory guidance. Finally, performance warranties and acceptance criteria must account for the inherent variability of AI outputs, including obligations for testing, validation, and audit trails to demonstrate accuracy, robustness, and fairness.

In essence, an AI provision integrates technical, legal, and ethical obligations into the contract, providing clarity for both parties on rights, responsibilities, and risk management throughout the AI system’s lifecycle.