Enum: AiActorTaskEnum

Categories of AI actor tasks as described in Appendix A and

illustrated in Figure 3.

URI: nist_ai_rmf:AiActorTaskEnum

Permissible Values

Value	Meaning	Description
AI_DESIGN	None	Performed during the Application Context and Data and Input
AI_DEVELOPMENT	None	Performed during the AI Model phase; provide the initial
AI_DEPLOYMENT	None	Performed during the Task and Output phase; responsible for
OPERATION_AND_MONITORING	None	Performed in the Application Context / Operate and Monitor
TEVV	None	Test, Evaluation, Verification, and Validation tasks performed
HUMAN_FACTORS	None	Human-centered design practices and methodologies; promoting
DOMAIN_EXPERT	None	Input from multidisciplinary practitioners or scholars who
AI_IMPACT_ASSESSMENT	None	Assess and evaluate requirements for AI system accountability,
PROCUREMENT	None	Conducted by AI actors with financial, legal, or policy
GOVERNANCE_AND_OVERSIGHT	None	Assumed by AI actors with management, fiduciary, and legal
THIRD_PARTY_ENTITIES	None	Providers, developers, vendors, and evaluators of data,
END_USERS	None	Individuals or groups that use the AI system for specific
AFFECTED_INDIVIDUALS_OR_COMMUNITIES	None	All individuals, groups, communities, or organizations directly
OTHER_AI_ACTORS	None	Provide formal or quasi-formal norms or guidance - includes
GENERAL_PUBLIC	None	Most likely to directly experience positive and negative impacts

Slots

Name	Description
actor_task	AI actor task category
task_kind	Which of the actor task categories this is

In Subsets

• Lifecycle

Identifier and Mapping Information

Schema Source

• from schema: https://w3id.org/lmodel/nist-ai-rmf

LinkML Source

name: AiActorTaskEnum
description: 'Categories of AI actor tasks as described in Appendix A and

  illustrated in Figure 3.'
in_subset:
- lifecycle
from_schema: https://w3id.org/lmodel/nist-ai-rmf
rank: 1000
permissible_values:
  AI_DESIGN:
    text: AI_DESIGN
    description: 'Performed during the Application Context and Data and Input

      phases; create the concept and objectives of AI systems and are

      responsible for planning, design, and data collection.'
  AI_DEVELOPMENT:
    text: AI_DEVELOPMENT
    description: 'Performed during the AI Model phase; provide the initial

      infrastructure of AI systems (model building, selection,

      calibration, training, testing).'
  AI_DEPLOYMENT:
    text: AI_DEPLOYMENT
    description: 'Performed during the Task and Output phase; responsible for

      contextual decisions on how the AI system is used and for

      assuring deployment into production.'
  OPERATION_AND_MONITORING:
    text: OPERATION_AND_MONITORING
    description: 'Performed in the Application Context / Operate and Monitor

      phase; operating the AI system and regularly assessing system

      output and impacts.'
  TEVV:
    text: TEVV
    description: 'Test, Evaluation, Verification, and Validation tasks performed

      throughout the AI lifecycle; examine the AI system or its

      components, and detect and remediate problems.'
  HUMAN_FACTORS:
    text: HUMAN_FACTORS
    description: 'Human-centered design practices and methodologies; promoting

      active involvement of end users and other interested parties;

      incorporating context-specific norms and values.'
  DOMAIN_EXPERT:
    text: DOMAIN_EXPERT
    description: 'Input from multidisciplinary practitioners or scholars who

      provide knowledge or expertise in - and about - an industry

      sector, context, or application area.'
  AI_IMPACT_ASSESSMENT:
    text: AI_IMPACT_ASSESSMENT
    description: 'Assess and evaluate requirements for AI system accountability,

      combat harmful bias, examine impacts, product safety, liability,

      and security.'
  PROCUREMENT:
    text: PROCUREMENT
    description: 'Conducted by AI actors with financial, legal, or policy

      management authority for acquisition of AI models, products, or

      services from a third party.'
  GOVERNANCE_AND_OVERSIGHT:
    text: GOVERNANCE_AND_OVERSIGHT
    description: 'Assumed by AI actors with management, fiduciary, and legal

      authority for the organization, including senior leadership and

      the Board of Directors.'
  THIRD_PARTY_ENTITIES:
    text: THIRD_PARTY_ENTITIES
    description: 'Providers, developers, vendors, and evaluators of data,

      algorithms, models, and/or systems and related services external

      to the deploying organization.'
  END_USERS:
    text: END_USERS
    description: 'Individuals or groups that use the AI system for specific

      purposes; range in competency from AI experts to first-time

      users.'
  AFFECTED_INDIVIDUALS_OR_COMMUNITIES:
    text: AFFECTED_INDIVIDUALS_OR_COMMUNITIES
    description: 'All individuals, groups, communities, or organizations directly

      or indirectly affected by AI systems or decisions based on the

      output of AI systems.'
  OTHER_AI_ACTORS:
    text: OTHER_AI_ACTORS
    description: 'Provide formal or quasi-formal norms or guidance - includes

      trade associations, standards developing organizations, advocacy

      groups, researchers, environmental groups, and civil society

      organizations.'
  GENERAL_PUBLIC:
    text: GENERAL_PUBLIC
    description: 'Most likely to directly experience positive and negative impacts

      of AI technologies; provides motivation for actions taken by

      other AI actors.'