HAX Design Library

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

Guideline 13

Guideline 13

Learn from user behavior

Personalize the user’s experience by learning from their actions over time.
Guideline 13 > Example

Amazon | G13: Learn from user behavior

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Guideline 13 > Example

Amazon.com | G13: Learn from user behavior

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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 14A > Example

YouTube | 14A: Comprehensive updates

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Guideline 14 > Pattern 14A > Example

Facebook | 14A: Comprehensive updates

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Guideline 14 > Pattern 14B

Pattern 14B: Immediate, partial, non-disruptive updates
Guideline 14 > Pattern 14B > Example

Google Search | 14B: Immediate, partial, non-disruptive updates

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Guideline 14 > Pattern 14B > Example

Spotify | 14B: Immediate, partial, non-disruptive updates

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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 15A > Example

Viva Topics | 15A: Encourage explicit feedback on individual system outputs

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Guideline 15 > Pattern 15A > Example

Instagram | 15A: Encourage explicit feedback on individual system outputs

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Guideline 15 > Pattern 15B

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

Google Maps | 15B: Request explicit feedback on selected system outputs

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Guideline 15 > Pattern 15C

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

Instagram | 15C: Reporting inappropriate content

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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 16B > Example

Apple Music | 16B: Feedback: Convey the consequences of user actions after the user takes action

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Guideline 16 > Pattern 16C

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

Google Maps | 16C: Remind of consequences of a past action and ask for reconfirmation

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Guideline 16 > Pattern 16C > Example

Apple Health | 16C: Remind of consequences of a past action and ask for reconfirmation

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Guideline 16 > Pattern 16D

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

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

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Guideline 17

Guideline 17

Provide global controls

Allow the user to globally customize what the AI system monitors and how it behaves.
Guideline 17 > Example

Windows Copilot | G17: Provide global controls

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Guideline 18

Guideline 18

Notify users about changes

Inform the user when the AI system adds or updates its capabilities.
Guideline 18 > Example

Office What’s New | G18: Notify users about change

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