It assumes greater direct obligations and higher potential | AIGP
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It assumes greater direct obligations and higher potential: Compared with buying, which consequence most

AIGP Understanding How to Govern AI Deployment and Use Medium

Building and deploying its own model means the company takes on the developer/provider obligations and greater potential liability that a vendor would otherwise carry.

The question

A company decides to stop licensing a third-party model and instead build and deploy its own proprietary model in-house. Compared with buying, which consequence most directly follows from this choice?

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  1. It transfers most development-related liability to the model's vendor
    Plausible if buying, but building in-house removes the external vendor, so liability cannot be transferred that way.
  2. It assumes greater direct obligations and higher potential liability
    Building its own model shifts development and provider-side duties onto the company, increasing its obligations and liability.
  3. It removes the need for any post-deployment monitoring of outputs
    Appealing but false, since a self-built model still requires ongoing monitoring like any deployed system.
  4. It eliminates data-governance duties over the training dataset used
    Incorrect, because owning the model actually deepens responsibility for the training data's governance.
The trap
Assuming that owning and controlling the model reduces rather than increases governance obligations and liability.

How to remember it

Building and deploying its own model means the company takes on the developer/provider obligations and greater potential liability that a vendor would otherwise carry.

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More Understanding How to Govern AI Deployment and Use questions

Part of the Certsqill AIGP question bank · Understanding How to Govern AI Deployment and Use · Every answer, right and wrong, comes with its own explanation.