Module 1020 minutes
Ethics, Safety, and Compliance
Build responsible AI products. Handle sensitive data, prevent misuse, and ensure compliance.
ethicssafetycomplianceprivacyresponsible-ai
Learning Objectives
- ✓Implement AI safety measures
- ✓Handle data privacy
- ✓Prevent misuse
- ✓Ensure compliance
Build Responsibly
AI products need ethical guardrails and safety measures.
Safety Measures
1. Content filtering
- Block harmful outputs
- Moderate user inputs
- Use moderation APIs
2. Rate limiting
- Prevent abuse
- Protect costs
- Fair usage
3. Logging and auditing
- Track usage
- Identify misuse
- Debug issues
Data Privacy
- Don't train on user data (unless explicit consent)
- Anonymize when logging
- Comply with GDPR/CCPA
- Clear privacy policy
- Data retention limits
Preventing Misuse
- Terms of service
- Usage monitoring
- Suspicious activity detection
- Human review for edge cases
Compliance Considerations
- Industry regulations
- Data residency requirements
- Accessibility standards
- Transparency requirements
Key Takeaways
- →Implement content moderation for inputs and outputs
- →Never train models on user data without consent
- →Log for debugging, but anonymize personal data
- →Have clear terms of service and privacy policy
- →Monitor for misuse and respond quickly
Practice Exercises
Apply what you've learned with these practical exercises:
- 1.Add content moderation to your app
- 2.Write privacy policy for AI features
- 3.Implement rate limiting
- 4.Set up usage monitoring