Final answer:
The explanation of data usage for training an AI model to a third-party discloser should be provided at the point of planning the AI system. it is a crucial step to ensure transparency and adherence to legal requirements as well as to maintain trust and define expectations for both parties involved.
Step-by-step explanation:
If you're the recipient of some data collected by a third party for use in training an AI model, as per your business agreement requiring transparency in how you plan to use the data, you should provide this explanation at the point of planning the AI system. This is before any data processing or model training occurs and sets a clear expectation for how the data will be used. This transparency aligns with legal perspectives on AI where compliance with current laws and consideration for risks, like unauthorized data access, are of paramount importance.
Providing the explanation at the planning stage ensures that your intended use aligns with the third party's expectations and any legal requirements. Furthermore, being clear about your data utilization plan from the outset can preempt issues that might arise later in the model development process—from data collection to model evaluation. This level of upfront clarity is essential to maintain trust and adhere to any legal obligations that might influence the AI project's scope.