MAP-3.3—Targeted application scope is specified and documented based on the system’s capability, established context, and AI system categorization.

>Control Description

Targeted application scope is specified and documented based on the system’s capability, established context, and AI system categorization.

>About

Systems that function in a narrow scope tend to enable better mapping, measurement, and management of risks in the learning or decision-making tasks and the system context. A narrow application scope also helps ease TEVV functions and related resources within an organization.

For example, large language models or open-ended chatbot systems that interact with the public on the internet have a large number of risks that may be difficult to map, measure, and manage due to the variability from both the decision-making task and the operational context. Instead, a task-specific chatbot utilizing templated responses that follow a defined “user journey” is a scope that can be more easily mapped, measured and managed.

>Suggested Actions

Consider narrowing contexts for system deployment, including factors related to:
How outcomes may directly or indirectly affect users, groups, communities and the environment.
Length of time the system is deployed in between re-trainings.
Geographical regions in which the system operates.
Dynamics related to community standards or likelihood of system misuse or abuses (either purposeful or unanticipated).
How AI system features and capabilities can be utilized within other applications, or in place of other existing processes.
Engage AI actors from legal and procurement functions when specifying target application scope.

>Documentation Guidance

Organizations can document the following

To what extent has the entity clearly defined technical specifications and requirements for the AI system?
How do the technical specifications and requirements align with the AI system’s goals and objectives?

AI Transparency Resources

GAO-21-519SP: AI Accountability Framework for Federal Agencies & Other Entities.
Assessment List for Trustworthy AI (ALTAI) - The High-Level Expert Group on AI – 2019. LINK,