AI Ethics and Best Practices
60 minutes
Understanding the ethical considerations in AI development:
• Ethical Principles in AI
- Fairness and bias
- Transparency and explainability
- Privacy and security
- Accountability
• Responsible AI Development
- Testing for bias
- Model interpretability
- Data privacy compliance
- Security best practices
• Industry Guidelines and Standards
- Regulatory requirements
- Industry frameworks
- Documentation requirements
• Future Considerations
- Emerging ethical challenges
- Evolving regulations
- Sustainable AI practices
Learning Resources
AI Ethics Overview
Practical Exercises
Bias Detection Exercise
Learn to identify and mitigate bias in AI models.
Hints:
- Consider different types of bias
- Look at data representation
- Examine model outputs across groups