HAX Design Library

Interactive collection of the 18 Guidelines for Human-AI Interaction, with design patterns for applying them and examples.

Guideline 4

Guideline 4

Show contextually relevant information

Display information relevant to the user’s current task and environment.

Guideline 13

Guideline 13

Learn from user behavior

Personalize the user’s experience by learning from their actions over time.

Guideline 14

Guideline 14

Update and adapt cautiously

Limit disruptive changes when updating and adapting the AI system’s behaviors.
Guideline 14 > Pattern 14A

Pattern 14A: Comprehensive updates
Guideline 14 > Pattern 14B

Pattern 14B: Immediate, partial, non-disruptive updates

Guideline 15

Guideline 15

Encourage granular feedback

Enable the user to provide feedback indicating their preferences during regular interaction with the AI system.
Guideline 15 > Pattern 15A

Pattern 15A: Encourage explicit feedback on individual system outputs
Guideline 15 > Pattern 15B

Pattern 15B: Request explicit feedback on selected system outputs
Guideline 15 > Pattern 15C

Pattern 15C: Reporting inappropriate content
Guideline 15 > Pattern 15D

Pattern 15D: Use existing public rating or interaction data as feedback for the system