Practical Steps for Ethical AI Use

Responsible AI means balancing innovation with accountability. This lesson provides frameworks, checklists and principles to guide AI use.

The Four Pillars of Responsible AI:

Transparency

Be open about AI involvement in your work: disclose when AI was used, avoid misleading claims, be honest about human vs AI roles.

Human Oversight

Always validate AI outputs: edit, fact-check, review quality and bias.

Fairness

Avoid discriminatory or harmful applications: test for bias, ensure representation, exclude harmful stereotypes.

Accountability

You are responsible for AI-assisted work—errors, misuse, and consequences lie with you, not the AI.

Decision Checklist

Before deploying AI output:

1. Is AI appropriate here?
2. What could go wrong?
3. Can I verify the output?
4. Who is affected?
5. Should I disclose AI use?

Use Case Ethics

✅ Good uses: brainstorming, first drafts, accessibility tools.

⚠️ Careful uses: client deliverables, hiring, legal, medical content.

Prohibited Uses

• Generating fake news or impersonations
• Automated decisions with high stakes and no human review
• Deceptive use of AI output
• Content reuse without attribution when required

Responsible AI use is not a one-time checklist. It’s about continual reflection, learning, and maintaining human judgment above all.