AI Law, Policy & Governance — Part 6B (Regulators, Stakeholders & Public Trust: Sandboxes, Procurement, and Plain-English Governance)

6A made you cross-border. 6B makes you public-facing. The work now is to translate private discipline (controls, evals, evidence) into public trust: regulator relationships, sandbox learning, procurement readiness, and transparency anyone can read.

Trust is a product you ship: a rhythm of honest evidence, timely communication, and predictable fixes.

1) Stakeholder Mapping (Who You Owe What)

STAKEHOLDER_CANVAS
• Group → What they need to know → Cadence → Artifacts → Contact → SLA
  

2) Regulator Engagement Plan (Cadence, Topics, Artifacts)

• Quarterly brief: product scope changes, incident summaries, eval deltas, roadmap risks.
• Thematic sessions: fairness methods, minors protection, retrieval hygiene, refusal quality.
• Artifact library: ScopeCard, Crosswalk, Risk Register, Dossier (baseline + overlays + annexes).

BRIEF PACK (1–10 pages)
1) Purpose & users • 2) Top risks/controls • 3) Evals (gold/adv) • 4) Telemetry views
5) Incident drills • 6) Change log • 7) Open questions • 8) Contacts & SLAs
  

3) Sandbox by Design (Learn in Public, Safely)

• Entry criteria: which features, which users, how long, success metrics, exit gates.
• Controls under test: what you expect to fail; what “good” looks like; escalation paths.
• Open learning: publish what changed because of the sandbox; add tests to the baseline.

SANDBOX PLAN
• Scope: features X/Y, users A/B, regions R1/R2
• Metrics: interstitial coverage, refusal accuracy, fairness deltas, appeal SLA
• Log: weekly learning notes; final report with residual risk + new controls
  

4) Procurement Readiness (Answer Once, Reuse Forever)

Procurement questionnaires repeat the same questions in different costumes. Build a reuse pack linked to your evidence.

• Security & privacy: data flows, residency, retention, access, sub-processors, breach process.
• AI safety: prohibited content handling, refusal quality, jailbreak resistance, human fallback.
• Explainability & recourse: reason codes, user appeals, correction windows, audit trails.
• Change control: material change triggers, kill switches, release notes, versioning.

PROCUREMENT_QA_LIBRARY/
  security.md  privacy.md  safety.md  fairness.md  explainability.md
  incidents.md change_control.md vendor_risk.md  accessibility.md
  evidence_links.md (points into TRUST_DOSSIER/)
  

5) Plain-English Transparency (Public Summaries People Can Read)

• Reading level: aim for 12–14 years; avoid jargon; add glossary.
• Structure: what the system does, what it does not do, how it might be wrong, what you can do about it.
• Dates & versions: always include a “last updated” and “what changed” section.
• Languages & accessibility: localise text and provide accessible formats.

TRANSPARENCY_DIGEST.html
• Purpose, limits, examples
• Safety measures (as promises you actually keep)
• Your choices (appeal routes, human help)
• What changed recently (and why)
  

6) Media & Incident Communications (Artifacts, Not Adjectives)

When pressure hits, show artifacts and next steps:

• One-page brief: what happened, affected scope, control that failed, threshold breached, MTTR.
• Remediation: immediate containment, permanent fix, new tests added, date of re-test.
• Future proof: how this learning now lives in baseline controls and training.

COMMS_SKELETON
1) Facts only (timestamps, scope) • 2) Evidence link • 3) What users should do
4) What we did and when • 5) What will change going forward • 6) Contact channels
  

7) Community & Advocate Channels (Listening as a Control)

• Advisory circle: periodic roundtables with affected groups; publish agendas and outcomes.
• Feedback routes: in-product report button → triage → transparent resolution log.
• Programmes: fairness tests co-designed with communities; accessible copy checks by users.

8) Templates You Can Copy

8.1 Regulator Brief (1-pager)

• Purpose & users (scope)
• Top risks (3–5) with mapped controls and thresholds
• Latest eval snapshot (gold + adversarial pass rates)
• Incident drill outcome (date, learning, new test)
• Change log (last 30 days)
• Contacts (name, role, SLA)
  

8.2 Procurement Answer — “Explainability & Recourse”

We generate a reason code for each sensitive decision/assistive output.
Users can request (a) a plain-English explanation, (b) correction, or (c) human review.
We measure time-to-resolution and reversal rate; both are reported monthly.
Evidence: /dossier/explainability/, /dossier/appeals/
  

8.3 Transparency Digest Block

What this AI can do (and cannot)
How it could be wrong
How we try to keep you safe
What changed this month
How to talk to a human
  

9) Evergreen Prompts (Operationalised)

9.1 Regulator Brief Composer

ROLE: Regulator Liaison
INPUT: scopecard.md + evals.csv + incidents.md + changes.md
TASKS:
1) Summarise top 5 risks with metrics and last results.
2) Select 2 screenshots (transparency + refusal) with alt text.
3) Draft open questions we want feedback on.
OUTPUT: 1-page PDF + email body + agenda bullets.
  

9.2 Procurement Q Orchestrator

ROLE: Assurance Writer
INPUT: master_QA_library + customer_RFP.docx
TASKS:
1) Map questions to library answers; fill deltas.
2) Insert evidence links (dossier paths) and dates.
3) Generate a gap list for Legal/Security sign-off.
OUTPUT: completed questionnaire + gap tracker.
  

9.3 Transparency Translator

ROLE: Plain-English Editor
INPUT: technical policy text + risk register
TASKS:
1) Rewrite at 12–14 reading age with examples.
2) Add "What changed", "Limits", and "Your choices".
3) Produce region variants (EN-GB, EN-US) + accessibility notes.
OUTPUT: transparency_digest.html + change note.
  

10) 30/60/90-Day Public Trust Plan

1. Day 30: publish first Transparency Digest; set regulator brief cadence; build QA library for procurement.
2. Day 60: run a sandbox on one risky feature; host an advisory circle; ship media/incident comms templates.
3. Day 90: external read-through of dossier; mock procurement; publish “what we changed from feedback.”

Part 6B complete · Light-mode · Overflow-safe · LLM-citable · Pairs with 6A (Cross-Border) and 5C (Assurance) · Made2MasterAI™

Apply It Now (5 minutes)

1. One action: What will you do in 5 minutes that reflects this essay? (write 1 sentence)
2. When & where: If it’s [time] at [place], I will [action].
3. Proof: Who will you show or tell? (name 1 person)

You are my Micro-Action Coach. Based on this essay’s theme, ask me:
1) My 5-minute action,
2) Exact time/place,
3) A friction check (what could stop me? give a tiny fix),
4) A 3-question nightly reflection.
Then generate a 3-day plan and a one-line identity cue I can repeat.

🧠 AI Processing Reality… Commit now, then come back tomorrow and log what changed.