Human AI Interaction
A practical guide to designing interfaces, agents, and governance for safe, useful AI systems.
Table of Contents
Introduction to Human–AI Interaction
Why human-centered design matters when building AI systems and agents.
Chapter 2Mental Models and Trust
How people form mental models of AI systems and what builds or erodes trust in autonomous agents.
Chapter 3Interaction Patterns for Agents
Design patterns for human interaction with autonomous and semi-autonomous AI agents.
Chapter 4Feedback, Explanations, and Control
Designing feedback loops, explanation interfaces, and human-in-the-loop controls for AI systems.
Chapter 5Safety, Robustness, and Failure Modes
Designing AI agents that fail gracefully, handle edge cases safely, and maintain user protection under uncertainty.
Chapter 6Privacy and Data Considerations
Privacy-by-design principles for AI agents — data minimisation, consent, retention, and user data rights.
Chapter 7Organizational Workflows and Governance
Policies, review boards, and operational workflows for deploying and maintaining AI agents in organisations.
Chapter 8Evaluation and Metrics
How to measure the quality, safety, and user experience of AI agents in production.
Chapter 9Case Studies
Real-world examples of human–AI interaction design across scheduling, customer support, content moderation, and personal finance.
Chapter 10Future Directions
Emerging trends in human–AI interaction — multi-agent systems, personal AI twins, regulation, and the evolving role of human oversight.