The Ethical AI Toolkit
11 free, print-ready job aids from Ethical Partnership with AI by Jon Foley
AI can speed up your work. It can’t take responsibility for it. That part is still yours. The Ethical AI Toolkit gives you simple tools to plan, check, and stand behind AI-assisted work, whether you’re writing one report or rolling out an AI system across a plant.
What’s Inside
For your own work
- A. Responsible AI Use Quick-Check. Five questions to answer before AI-assisted work leaves your hands.
- B. Brief Worksheet. Set your purpose, audience, limits, and what “good” looks like before you write a single prompt.
- C. Checkpoint Planner. Decide ahead of time where you’ll stop and check the AI’s output.
- D. Verification Checklist. Confirm facts, sources, summaries, and advice before anyone else sees them.
- E. Expertise Self-Check. Make sure you can defend the work before you call it your own.
- F. Disclosure Decision Guide. Three steps to decide whether to tell people AI was involved.
- G. Skill Protection Audit. A quarterly check on whether AI is helping your core skills or replacing them.
For teams and leaders
- H. Risk Tiering Matrix. Score any AI use from low to high risk and match it to the right controls.
- I. AI Governance Starter Kit. A one-page policy template, a review council outline, and a record-keeping checklist for smaller organizations.
- J. Monitoring and Incident Response Checklist. Keep watch on AI systems already in use and be ready when something goes wrong.
- K. Pre-Deployment Review Checklist. A final review before an AI system starts making calls that affect people.
Built for Real Use
- Print-ready at 8.5 x 11, with type you can read on the shop floor or at your desk.
- Large write-in boxes with room for real handwriting.
- Every tool ends with a clear decision rule, so you know what to do next.
- Each tool stands on its own. You don’t need the book to use it.
- Fields ask pointed questions, so vague answers have nowhere to hide.
What You Get
- Fewer AI mistakes reaching customers, managers, and regulators.
- Clear answers on when to disclose AI use.
- Oversight that fits the risk. Low-stakes work moves fast. High-stakes work gets the review it needs.
- A governance starting point for teams that don’t have one yet.
- Skills that stay sharp as AI takes on more routine work.
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