NIST AI 100-1 AI RMF 1.0
Appendix A:
Descriptions of AI Actor Tasks from Figures 2 and 3
AI Design tasks are performed during the Application Context and Data and Input phases
of the AI lifecycle in Figure 2. AI Design actors create the concept and objectives of AI
systems and are responsible for the planning, design, and data collection and processing
tasks of the AI system so that the AI system is lawful and fit-for-purpose. Tasks include ar-
ticulating and documenting the system’s concept and objectives, underlying assumptions,
context, and requirements; gathering and cleaning data; and documenting the metadata
and characteristics of the dataset. AI actors in this category include data scientists, do-
main experts, socio-cultural analysts, experts in the field of diversity, equity, inclusion,
and accessibility, members of impacted communities, human factors experts (e.g., UX/UI
design), governance experts, data engineers, data providers, system funders, product man-
agers, third-party entities, evaluators, and legal and privacy governance.
AI Development tasks are performed during the AI Model phase of the lifecycle in Figure
2. AI Development actors provide the initial infrastructure of AI systems and are responsi-
ble for model building and interpretation tasks, which involve the creation, selection, cali-
bration, training, and/or testing of models or algorithms. AI actors in this category include
machine learning experts, data scientists, developers, third-party entities, legal and privacy
governance experts, and experts in the socio-cultural and contextual factors associated with
the deployment setting.
AI Deployment tasks are performed during the Task and Output phase of the lifecycle in
Figure 2. AI Deployment actors are responsible for contextual decisions relating to how
the AI system is used to assure deployment of the system into production. Related tasks
include piloting the system, checking compatibility with legacy systems, ensuring regu-
latory compliance, managing organizational change, and evaluating user experience. AI
actors in this category include system integrators, software developers, end users, oper-
ators and practitioners, evaluators, and domain experts with expertise in human factors,
socio-cultural analysis, and governance.
Operation and Monitoring tasks are performed in the Application Context/Operate and
Monitor phase of the lifecycle in Figure 2. These tasks are carried out by AI actors who are
responsible for operating the AI system and working with others to regularly assess system
output and impacts. AI actors in this category include system operators, domain experts, AI
designers, users who interpret or incorporate the output of AI systems, product developers,
evaluators and auditors, compliance experts, organizational management, and members of
the research community.
Test, Evaluation, Verification, and Validation (TEVV) tasks are performed throughout
the AI lifecycle. They are carried out by AI actors who examine the AI system or its
components, or detect and remediate problems. Ideally, AI actors carrying out verification
Page 35