artifacts/standard-named

AI Mandates & Boundaries

artifacts/standard-named/20260622__CONTINUITY-OFFICE__TRAINING__AI-AND-AUTOMATION-CONTINUITY__v1__ai-mandates-and-boundaries.md

Rendered from markdown source. Open raw source on GitHub.

--- catalog: "Free Training Catalog" training_id: "011" title: "AI Mandates & Boundaries" subtitle: "Consent continuity for automated systems" track: "AI & Automation Continuity" estimated_time: "20–30 minutes" audience:

  • Executives
  • Product
  • IT / Security
  • Compliance
  • AI teams

learning_outcomes:

  • Define clear mandates for AI systems
  • Prevent silent scope expansion
  • Preserve consent through automation

prerequisites: "Training 001–010 recommended" level: "Intermediate" license: "Free / Open Training" version: "1.0" last_updated: "2025-12-18" ---

AI Mandates & Boundaries

Consent continuity for automated systems

Core stance

AI systems should never be allowed to answer the question:

“Since I can do this, may I?”

Mandates and boundaries ensure AI only acts within explicitly granted authority.

What an AI mandate is

An AI mandate is a plain-language statement of:

  • What the system is allowed to do
  • For whom
  • Using what inputs
  • For what purpose

If this cannot be stated clearly, the AI system is over-scoped.

What boundaries prevent

Boundaries stop:

  • Silent reuse of data
  • Expansion into adjacent decisions
  • “Temporary” pilots becoming permanent authorities

The two-sentence rule

Every AI system must have:

  1. A mandate sentence (what it may do)
  2. A boundary sentence (what it must not do)

Example:

This system may summarize customer support tickets for internal quality review. It must not generate customer-facing responses or be used for performance evaluation.

Exercises

  • Write mandate + boundary sentences for one AI tool
  • Identify one current AI use with no explicit boundary
  • Add a revocation or review trigger

Suggested next step

Publish one AI mandate publicly inside your organization.