AI Accountability: Build Responsible and Transparent Systems

Introduction

• Welcome

1. The Context for AI

• The promise of AI
• Generative and analytical AI
• General and narrow AI
• Artificial general intelligence (AGI)

2. Technical Challenges of AI

• Technical challenges for generative AI
• The challenge of classification errors
• The causes of classification errors
• Bias in AI
• Genres of learning
• Biased training data
• Construct validity
• The absence of meaning
• Vulnerability to attacks
• Attacking AI

3. Social Challenges of AI

• Dimensions of justice
• Moral reasoning
• Issues of authenticity

4. Legal Challenges of AI

• GenAI laws
• Privacy laws
• Spurious discrimination
• The right to explanation
• Discrimination in data
• Discrimination in implementation
• Discrimination and misinformation in generative AI

5. Safety Challenges of AI

• AI in life and death situations
• AI in the military
• The challenges of military AI
• Physical safety and generative AI

6. Confronting the Challenges of AI

• Strategies for developers
• Strategies for executives
• Strategies for public relations
• Strategies for regulators
• Strategies for consumers

Conclusion

• Next steps