AI Ethics and Safety: A Working Guide for Teams in 2026

Ethics is a set of operational choices, not a slide. This guide is the checklist we use with teams shipping AI features responsibly.

Step-by-step tutorial

1. Write a one-page AI use policy

Who can use what, on what data, with what disclosure.

2. Tier features by risk

Low: internal drafts. High: irreversible actions with customer impact.

3. Add human review to high tiers

Even a lightweight approver reduces incidents dramatically.

4. Audit quarterly

Sample outputs, complaints and vendor changes.

Best practices

• Disclose AI in customer touchpoints
• Track bias-relevant outcomes
• Support employees who flag risk

Common mistakes

• Silent AI in support channels
• No override path
• Skipping vendor DPA review

Tips

• Name a directly responsible owner
• Publish incidents internally
• Read the vendor's changelog

FAQ

Do we need an ethics board?

A committee helps. Written policy and clear ownership matter more.