It acts as a deployer: From a governance perspective | AIGP
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It acts as a deployer: From a governance perspective, which role does the company primarily take on, and what

AIGP Understanding the Foundations of AI Governance Medium

A company that operates a licensed model in its own product is a deployer, accountable for use-in-context.

The question

A company licenses a third party's ready-made AI chatbot system and operates it, unchanged and under the vendor's model, for its own customers. From a governance perspective, which role does the company primarily take on, and what does that imply?

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  1. It acts as a deployer, so it is accountable for how the system is used in context and its operational oversight
    Correct: using a ready-made AI system in its own operations, without modifying the model or placing it on the market under its own name, makes the company a deployer — accountable for use-in-context and operational oversight.
  2. It acts as the provider, so it bears full responsibility for the model's training data and core architecture
    Almost right, and the tempting trap: a company becomes a provider when it develops the model or substantially modifies/rebrands the system and puts it on the market under its own name. Here it operates the system unchanged, so it is a deployer.
  3. It acts merely as an end user, so it carries no governance duties beyond simply following the provider's instructions
    Plausible but wrong: operating a customer-facing system carries deployer accountability beyond mere end use.
  4. It acts as a distributor, so its duties are limited to making the model available without altering behavior
    Plausible but wrong: the company embeds and operates the model rather than merely making it available.
The trap
Calling the operator of a licensed model a 'provider,' when the provider is the party that develops or supplies it.

How to remember it

A company that operates a licensed model in its own product is a deployer, accountable for use-in-context.

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Part of the Certsqill AIGP question bank · Understanding the Foundations of AI Governance · Every answer, right and wrong, comes with its own explanation.