Download the one‑page checklist (no email required):
Why this matters: AI can raise quality and access—or quietly erode them. This checklist distills what actually prevents drift, hallucinations, liability surprises, and deskilling. Print it, post it, and use it to run safer, more effective AI programs.
Why this matters: AI can raise quality and access—or quietly erode them. This checklist distills what actually prevents drift, hallucinations, liability surprises, and deskilling. Print it, post it, and use it to run safer, more effective AI programs.
What’s inside (one page, zero fluff)
- Purpose & Risk Boundary — Define the problem, metrics, and stop‑rules.
- Accountability & Governance — One owner, safety/QA sign‑offs, and a training dividend.
- Data & Privacy — Minimization, consent updates, PHI/PII protection, retention.
- Model & Prompt Controls — Retrieval grounding, citations, test harness, injection defenses.
- Change Control & Monitoring — Versioning, shadow/A‑B, rollback, drift & alert metrics.
- Human Oversight & Workflow — Two‑person checks, exception queues, non‑delegable decisions.
- Documentation & Auditability — Logs, evidence packs, disclosure language.
- Training & Apprenticeship — Sim cases, graded autonomy, protected learning time.
- Procurement & Contracts — Data rights, security/audit clauses, quality SLAs, exit plan.
- Incident Response — Kill switch drills, severity matrix, blameless postmortems.
- Equity & Ethics — Subgroup performance and accessibility checks.
- KPI Dashboard — Quality, safety, operations, training, equity.
Formats: A4 and US Letter, print‑ready.
Download now: → A4 PDF· US Letter PDF
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Who this is for
- Law firms & in‑house counsel deploying AI for research, drafting, review, or intake.
- Hospitals & clinics piloting AI triage, documentation, imaging support, or decision aids.
- Ops, compliance, and QA leads who need a single page to align stakeholders.
- Founders and vendors selling professional‑grade AI who want validation moats, not demos.
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As an affiliate, we earn on qualifying purchases.
How to use the checklist (in under 90 minutes)
- Huddle (15 min): Name the accountable owner, scope the use case, agree on success/failure metrics.
- Mark the boundaries (15 min): Circle forbidden uses and non‑delegable decisions.
- Controls sprint (30 min): Fill the blanks for logs, test harness, monitoring, rollback, and on‑call.
- Human‑in‑the‑loop (15 min): Define two‑person checks and an exception queue with SLAs.
- Publish & post (10 min): Print it; add the owner’s name and review cadence; schedule a 30‑day retro.
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As an affiliate, we earn on qualifying purchases.
Why we’re giving this away
We believe better AI isn’t only smarter models—it’s better workflows. If this single page helps one firm avoid a sanctions order or one clinic avoid a preventable incident, it’s worth it. Share it, fork it, and make it yours.
Download:→ A4 PDF· US Letter PDF
Python integrated digital forensics and incident response tricks – Advanced data recovery and security analysis using Volatility and Sleuth Kit – (Japanese Edition)
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
FAQ
Can we modify and republish it?
Yes—please keep attribution to Thorsten Meyer AI and note your edits.
Is it legal advice or clinical guidance?
No. It’s an operational checklist to support conversations with your counsel, ethics board, and QA team.
How often should we review it?
Monthly while piloting; quarterly once stable; after any model or workflow change.
Credits & Version
- Version: v1.0 (Aug 2025)
- Author: Thorsten Meyer AI
- Attribution: © 2025 Thorsten Meyer AI — thorstenmeyerai.com
