39 design principles for building effective human-AI interactions
By
Taras Bakusevych
Summary
A comprehensive framework of 39 design principles for human-AI interaction, addressing the unique challenges AI systems pose compared to traditional deterministic interfaces. The framework covers four key areas: supporting appropriate reliance (helping users calibrate trust), ensuring user control and agency, maintaining transparency about system capabilities and limitations, and designing for responsible autonomy. The principles provide practical guidance for product designers and developers building AI-powered interfaces, with emphasis on helping users understand what AI systems can and cannot do, managing expectations, and creating safe, effective interactions.
Source
Sidebar39 design principles for building effective human-AI interactionsuxdesign.ccKey quotes
· 3 pulledAI systems are less deterministic. They introduce a property that most interface conventions weren't designed for: the same input can produce different outputs.
The same model can feel useful, confusing, or dangerous depending on the interface and instructions around it — product quality is not just about the model.
Traditional interfaces are built around predictable behavior. A control has a defined function. A workflow has known states. Errors can be anticipated and recovered from.
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