Establishing context for an AI system: intended purpose, team composition, mission and business value, risk tolerances and system requirements.
Understanding and documenting intended purposes, beneficial uses, context-specific laws and norms, deployment settings, users, impacts, assumptions and limitations. It is the broadest MAP outcome and the starting point for establishing context.
Making sure the AI actors who establish context are interdisciplinary and reflect demographic diversity and broad domain and user experience, with their participation documented.
Understanding and documenting the organization's mission and its goals for the AI technology, and checking the system's purpose against societal values and stated organizational principles.
Clearly defining the business value or business context of use for an AI system, or re-evaluating it for an existing system, and reconciling it with the organization's stated values and AI principles.
Determining and documenting organizational risk tolerances for AI, including a maximum tolerance above which a system will not be deployed, and documenting tradeoffs among trustworthiness characteristics.
Eliciting system requirements from relevant AI actors (for example, that the system respect user privacy) and making design decisions that take socio-technical implications into account.
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