MAP 2.1 AI tasks and methods
Defining the specific tasks the AI system will support and the methods used to implement them (for example classifiers, generative models or recommenders), with known assumptions and limitations.
MAP 2 Categorization of the AI system
Categorizing the AI system: its tasks and methods, its knowledge limits and human use of its output, and the scientific integrity and TEVV considerations behind it.
MAP 2.2 Knowledge limits and human oversight of outputs
Documenting the AI system's knowledge limits and how humans may use and oversee its output, with enough detail for AI actors to make decisions, including out-of-scope settings and dependencies on other systems.
MAP 2.3 Scientific integrity and TEVV considerations
Identifying and documenting scientific integrity and TEVV considerations: experimental design, data collection and selection (availability, representativeness, suitability), system trustworthiness and construct validation.
