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HAX Design Library
Interactive collection of the 18 Guidelines for Human-AI Interaction, with design patterns for applying them and examples.
Guideline 5 > Example
Copilot in PowerPoint | G5: Match relevant social norms
Guideline 5 > Example
Microsoft Word | G5: Match relevant social norms
Guideline 6 > Example
Bing Search | G6: Mitigate social biases
Guideline 6 > Example
Android | G6: Mitigate social biases
Guideline 9 > Pattern 9A
Pattern 9A: Switch classification decisions
G9: Support efficient correction.
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Guideline 9 > Pattern 9A > Example
Viva Topics | 9A: Switch classification decisions
Guideline 9 > Pattern 9B
Pattern 9B: Rich and detailed edits
G9: Support efficient correction.
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Chatbot
E-commerce
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Guideline 9 > Pattern 9B > Example
Copilot in PowerPoint | 9B: Rich and detailed edits
Guideline 9 > Pattern 9B > Example
Copilot in Outlook | 9B: Rich and detailed edits
Guideline 9 > Pattern 9B > Example
Copilot in Word | 9B: Rich and detailed edits
Guideline 9 > Pattern 9B > Example
D365 Customer Service | 9B: Rich and detailed edits
Guideline 9 > Pattern 9B > Example
Nichesss | 9B: Rich and detailed edits
Guideline 9 > Pattern 9C
Pattern 9C: Undo automated actions
G9: Support efficient correction.
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Guideline 9 > Pattern 9C > Example
Bing Search | 9C: Undo automated actions
Guideline 9 > Pattern 9D
Pattern 9D: Do G9 through G15
G9: Support efficient correction.
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E-commerce
Email
Health and wellness
Guideline 9 > Pattern 9E
Pattern 9E: Batch-editing data
G9: Support efficient correction.
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Guideline 9 > Example
Copilot in PowerPoint | G9: Support efficient correction
Guideline 14 > Pattern 14A
Pattern 14A: Comprehensive updates
G14: Update and adapt cautiously.
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Chatbot
E-commerce
Email
Health and wellness
Guideline 14 > Pattern 14B
Pattern 14B: Immediate, partial, non-disruptive updates
G14: Update and adapt cautiously.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 15 > Pattern 15A
Pattern 15A: Encourage explicit feedback on individual system outputs
G15: Encourage granular feedback.
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Chatbot
E-commerce
Email
Health and wellness
Guideline 15 > Pattern 15A > Example
Copilot in Excel | 15A: Encourage explicit feedback on individual system outputs
Guideline 15 > Pattern 15A > Example
Viva Topics | 15A: Encourage explicit feedback on individual system outputs
Guideline 15 > Pattern 15B
Pattern 15B: Request explicit feedback on selected system outputs
G15: Encourage granular feedback.
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Chatbot
E-commerce
Email
Health and wellness
Guideline 15 > Pattern 15C
Pattern 15C: Reporting inappropriate content
G15: Encourage granular feedback.
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Chatbot
E-commerce
Email
Health and wellness
Guideline 15 > Pattern 15C > Example
Word Online | 15C: Reporting inappropriate content
Guideline 15 > Pattern 15D
Pattern 15D: Use existing public rating or interaction data as feedback for the system
G15: Encourage granular feedback.
Advertising
Chatbot
E-commerce
Email
Health and wellness
Guideline 15 > Pattern 15D > Example
Contoso | 15D: Use existing public rating or interaction data as feedback for the system
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