What lifecycle and end-of-life requirements should AI contracts include?

Answered

Treat procurement as lifespan management, not a one-off buy: require ongoing model monitoring, knowledge transfer and training for non-specialists, support and hosting, process-based governance/auditability, and defined end-of-contract roles for the system and data.

From the guidance

Primary (how) Guidelines for AI procurement

Consider during AI procurement that lifespan testing, not a one-time decision, is required. Ensure that knowledge transfer and training is part of your requirement. Ensure that you make training and explanations for non-specialists that might need to understand the AI system part of your requirement. Ensure you have the appropriate ongoing support and hosting arrangements in place.

Section: 10. Consider the lifecycle management of the AI system

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Primary (how) Guidelines for AI procurement

Testing the model on an ongoing basis is necessary to maintain its accuracy. An inaccurate model can result in erroneous decisions that negatively impact citizens. Therefore, establish with the supplier how the efficacy of the model will be monitored once deployed.

Section: Model testing

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Secondary (normative) Guidelines for AI procurement

Consider what the end-of-life processes for your AI system and the data should look like. Defining end-of-contract roles and processes for both the contracting authority and the supplier is important. Ensure the contract includes such considerations.

Section: End-of-life

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