This book explores how people and AI systems can interact effectively, safely, and respectfully. It covers interaction patterns, design principles, trust and transparency, governance, and practical examples for product teams.

Contents

1. Introduction to Human–AI Interaction
2. Mental Models and Trust
3. Interaction Patterns for Agents
4. Feedback, Explanations, and Control
5. Safety, Robustness, and Failure Modes
6. Privacy and Data Considerations
7. Organizational Workflows and Governance
8. Evaluation and Metrics
9. Case Studies
10. Future Directions