Human–AI interaction (HAI) is the study and practice of designing interfaces and systems where humans and artificial intelligence collaborate. This chapter introduces core concepts: mental models, levels of autonomy, feedback loops, and the importance of clarity in delegation and control.
Key principles:
- Make agency explicit: clearly communicate what the system can and cannot do.
- Preserve human control: provide easy ways to review, pause, or undo automated actions.
- Design for observability: show state, confidence, and provenance of AI outputs.
In the following chapters we’ll build practical patterns for designers and engineers who need to put these principles into practice.