Chapter 1: Responsible AI Use

Ethical Framework

Consider these principles when using AI:

Principle	Description	Application
Transparency	Be clear about AI use	Disclose when AI generates content
Accuracy	Verify AI outputs	Fact-check important claims
Privacy	Protect personal data	Don't share sensitive info in prompts
Fairness	Avoid discrimination	Check outputs for bias
Accountability	Take responsibility	Human oversight of AI decisions

Appropriate Use Cases

✅ Appropriate

• Drafting content (with human review)
• Research assistance
• Code suggestions (verified before use)
• Brainstorming and ideation
• Learning and exploration

❌ Inappropriate

• Final decisions without human review
• Medical/legal advice (without professional)
• Generating deceptive content
• Bypassing safety systems
• Processing truly confidential data

Transparency in AI Use

Be honest about AI involvement:

✓ "This initial draft was created with AI assistance 
   and reviewed by our team."

✓ "AI-assisted research; all facts verified from 
   primary sources."

✗ Passing AI content as entirely human-created 
   when disclosure is expected

Human Oversight

AI should augment, not replace, human judgment:

AI Workflow with Human Oversight:

1. AI generates draft/options
2. Human reviews for accuracy
3. Human checks for appropriateness
4. Human makes final decisions
5. Human takes responsibility

Key Takeaways

Summary

1. Be transparent about AI use
2. Verify AI outputs for important decisions
3. Protect privacy - don't share sensitive data
4. Maintain human oversight and accountability
5. Know what's appropriate vs. inappropriate

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Next: Avoiding Biases →