MAP 3.1 Potential benefits
Examining and documenting the potential benefits of the intended AI functionality and performance, using participatory methods and comparisons with human baselines or other benchmarks.
MAP 3 Capabilities, usage, benefits and costs
Understanding what the system will do and for whom: benefits, costs of errors, targeted scope, operator proficiency and human oversight processes.
MAP 3.2 Potential costs of errors
Examining and documenting potential costs, including non-monetary costs, from expected or realized AI errors, functionality and trustworthiness, as connected to organizational risk tolerance.
MAP 3.3 Targeted application scope
Specifying and documenting the targeted application scope based on the system's capability, established context and categorization, including narrowing deployment contexts to limit risk.
MAP 3.4 Operator and practitioner proficiency
Defining, assessing and documenting processes for operator and practitioner proficiency with AI system performance and trustworthiness, including relevant technical standards and certifications.
MAP 3.5 Human oversight processes
Defining, assessing and documenting human oversight processes in line with GOVERN policies: which features need oversight, training for overseers and testing whether oversight actually works.
