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 9

Guideline 9

Support efficient correction

Make it easy to edit, refine, or recover when the AI system is wrong.
Guideline 9 > Pattern 9A

Pattern 9A: Switch classification decisions
Guideline 9 > Pattern 9A > Example

Viva Topics | 9A: Switch classification decisions

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Guideline 9 > Pattern 9A > Example

Google Photos | 9A: Switch classification decisions

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Guideline 9 > Pattern 9A > Example

Gmail | 9A: Switch classification decisions

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Guideline 9 > Pattern 9B

Pattern 9B: Rich and detailed edits
Guideline 9 > Pattern 9B > Example

Copilot in PowerPoint | 9B: Rich and detailed edits

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Guideline 9 > Pattern 9B > Example

Notion | 9B: Rich and detailed edits

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Guideline 9 > Pattern 9B > Example

Copilot in Outlook | 9B: Rich and detailed edits

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Guideline 9 > Pattern 9B > Example

Copilot in Word | 9B: Rich and detailed edits

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Guideline 9 > Pattern 9B > Example

D365 Customer Service | 9B: Rich and detailed edits

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Guideline 9 > Pattern 9B > Example

Nichesss | 9B: Rich and detailed edits

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Guideline 9 > Pattern 9B > Example

LinkedIn | 9B: Rich and detailed edits

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Guideline 9 > Pattern 9B > Example

Google Maps | 9B: Rich and detailed edits

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Guideline 9 > Pattern 9B > Example

Apple Photos | 9B: Rich and detailed edits

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Guideline 9 > Pattern 9C

Pattern 9C: Undo automated actions
Guideline 9 > Pattern 9C > Example

Bing Search | 9C: Undo automated actions

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Guideline 9 > Pattern 9D

Pattern 9D: Do G9 through G15
Guideline 9 > Pattern 9D > Example

Instagram | 9D: Do G9 through G15

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Guideline 9 > Pattern 9D > Example

Google Photos | 9D: Do G9 through G15

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Guideline 9 > Pattern 9E

Pattern 9E: Batch-editing data
Guideline 9 > Pattern 9E > Example

Outlook | 9E: Batch-editing data

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Guideline 9 > Pattern 9E > Example

Google Photos | 9E: Batch-editing data

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Guideline 9 > Pattern 9E > Example

Gmail | 9E: Batch-editing data

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Guideline 9 > Example

Copilot in PowerPoint | G9: Support efficient correction

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Guideline 11

Guideline 11

Make clear why the system did what it did

Enable the user to access an explanation of why the AI system behaved as it did.
Guideline 11 > Pattern 11A

Pattern 11A: Local explanations
Guideline 11 > Pattern 11A > Example

AlphaCode | 11A: Local explanations

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Guideline 11 > Pattern 11A > Example

Google Search | 11A: Local explanations

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Guideline 11 > Pattern 11A > Example

Copilot in Excel | 11A: Local explanations

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Guideline 11 > Pattern 11A > Example

Business Chat | 11A: Local explanations

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Guideline 11 > Pattern 11A > Example

InterpretML | 11A: Local explanations

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Guideline 11 > Pattern 11A > Example

Pinterest | 11A: Local explanations

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Guideline 11 > Pattern 11B

Pattern 11B: Global explanations
Guideline 11 > Pattern 11B > Example

D365 Marketing | 11B: Global explanations

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Guideline 11 > Pattern 11B > Example

InterpretML | 11B: Global explanations

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Guideline 11 > Pattern 11B > Example

Instagram | 11B: Global explanations

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Guideline 11 > Pattern 11C

Pattern 11C: Present properties of system outputs
Guideline 11 > Pattern 11C > Example

Google Maps | 11C: Present properties of system outputs

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Guideline 11 > Pattern 11C > Example

Strava | 11C: Present properties of system outputs

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Guideline 11 > Pattern 11D

Pattern 11D: Map system input attributes to system outputs
Guideline 11 > Pattern 11D > Example

AlphaCode | 11D: Map system input attributes to system outputs

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Guideline 11 > Pattern 11D > Example

Gmail | 11D: Map system input attributes to system outputs

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Guideline 11 > Pattern 11D > Example

Sentiment Analysis | 11D: Map system input attributes to system outputs

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Guideline 11 > Pattern 11E

Pattern 11E: Map user behaviors to system outputs
Guideline 11 > Pattern 11E > Example

Netflix | 11E: Map user behaviors to system outputs

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Guideline 11 > Pattern 11E > Example

Goodreads | 11E: Map user behaviors to system outputs

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Guideline 11 > Pattern 11F

Pattern 11F: Example-based explanations
Guideline 11 > Pattern 11F > Example

Image recognition | 11F: Example-based explanations

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Guideline 11 > Pattern 11F > Example

Computer Vision | 11F: Example-based explanations

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Guideline 11 > Pattern 11G

Pattern 11G: “What if?” explanations
Guideline 11 > Pattern 11G > Example

Copysmith | 11G: “What if explanations”

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Guideline 11 > Pattern 11G > Example

Jasper.ai | 11G: “What if?” explanations

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Guideline 11 > Pattern 11G > Example

NerdWallet | 11G: “What if?” explanations

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Guideline 11 > Pattern 11G > Example

Grammarly | 11G: “What if?” explanations

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Guideline 12

Guideline 12

Remember recent interactions

Maintain short-term memory and allow the user to make efficient references to that memory.

Guideline 15

Guideline 15

Encourage granular feedback

Enable the user to provide feedback indicating their preferences during regular interaction with the AI system.