HAX Design Library

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

Guideline 8

Guideline 8

Support efficient dismissal

Make it easy to dismiss or ignore undesired AI system services.

Guideline 10

Guideline 10

Scope services when in doubt

Engage in disambiguation or gracefully degrade the AI system’s services when uncertain about a user’s goals.
Guideline 10 > Pattern 10A

Pattern 10A: Disambiguate before acting
Guideline 10 > Pattern 10B

Pattern 10B: Avoid cold starts by eliciting user preferences
Guideline 10 > Pattern 10C

Pattern 10C: Fall back to other strategies

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

Guideline 16

Guideline 16

Convey the consequences of user actions

Immediately update or convey how user actions will impact future behaviors of the AI system.
Guideline 16 > Pattern 16A

Pattern 16A: Feedforward: Convey the consequences of user actions before the user takes action
Guideline 16 > Pattern 16B

Pattern 16B: Feedback: Convey the consequences of user actions after the user takes action
Guideline 16 > Pattern 16C

Pattern 16C: Remind of consequences of a past action and ask for reconfirmation
Guideline 16 > Pattern 16D

Pattern 16D: Convey the consequences of user action in help and documentation