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Resource profile

Human-AI Interaction Principles

What it is

An applied framework for designing interfaces for probabilistic AI systems.
Organizes 39 guidelines around expectation setting, calibrated trust, transparency, control, and graceful failure.
Draws on human–AI interaction, mixed-initiative systems, trust in automation, explainable AI, and responsible AI design.

Useful for

Designing when a system should suggest, ask, defer, or act.
Making generated outputs, uncertainty, evidence, correction, and escalation easier to manage.
Supporting user oversight for consequential decisions.

Notes to know

Focuses on interface and product design rather than governing model behavior.
Emphasizes that users need to verify important outputs and recover from mistakes.

A considered shelf by Shahadat Shemul·@HiShahadat