Monitoring the model's real-world impact on its customers: From a governance perspective, which responsibility
As deployer, the retailer controls the context of use, so monitoring real-world impact and how outputs are acted upon is primarily its duty.
The question
A retailer licenses a fraud-detection model built and trained entirely by a vendor, then integrates it into its own checkout flow and decides which transactions to block. From a governance perspective, which responsibility falls primarily on the retailer as the deployer rather than on the vendor as the developer?
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- Monitoring the model's real-world impact on its customers in the actual checkout context and managing how outputs are acted upon. ✓Correct. The deployer controls the context of use, so monitoring real-world impact and how outputs drive decisions is primarily its responsibility.
- Selecting the training data and model architecture used to build the fraud-detection system before it was ever licensed to any customer.Plausible, but architecture and training-data choices are the developer's build-side responsibilities, not the deployer's.
- Documenting the internal design decisions and testing methodology that produced the model's original performance characteristics.Almost right that documentation matters, but design and testing documentation for the build sits with the developer that created it.
- Defining the core algorithmic techniques and optimization objectives that determine how the underlying model learns from data.Plausible, but defining learning techniques and objectives is inherently a developer function performed during model construction.
The trap
Attributing model-building responsibilities to the deployer, or assuming a licensor developer bears all obligations after deployment. How to remember it
As deployer, the retailer controls the context of use, so monitoring real-world impact and how outputs are acted upon is primarily its duty.
How many of these would you get right?
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