HAX Design Library

Interactive collection of the 18 Guidelines for Human-AI Interaction, with design patterns for applying them and examples.
Guideline 1 > Pattern 1A > Example

Copilot in PowerPoint | 1A: Introductory blurb

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Guideline 1 > Pattern 1A > Example

Copilot in Word | 1A: Introductory blurb

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Guideline 1 > Pattern 1A > Example

D365 Marketing | 1A: Introductory blurb

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Guideline 1 > Pattern 1C > Example

Copilot in PowerPoint | 1C: Expose system controls

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Guideline 1 > Pattern 1D > Example

M365 Chat | 1D: Make clear what the system can do

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Guideline 1 > Pattern 1D > Example

Copilot in PowerPoint | 1D: Demonstrate possible system inputs

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Guideline 1 > Pattern 1D > Example

Business Chat | 1D: Demonstrate possible system inputs

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Guideline 1 > Example

Notion | G1: Make clear what the system can do

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Guideline 1 > Example

Business Chat | G1: Make clear what the system can do

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Guideline 1 > Example

Copilot in Excel | G1: Make clear what the system can do

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Guideline 2 > Pattern 2A > Example

Linguistic uncertainty expressions | 2A: Match the level of precision in UI communication with the system performance – Language

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Guideline 2 > Pattern 2C > Example

Contoso | 2C: Report system performance information

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Guideline 2 > Pattern 2D > Example

Business Chat | 2D: Provide low performance alerts

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Guideline 2 > Pattern 2D > Example

Copilot in Outlook | 2D: Provide low performance alerts

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Guideline 2 > Example

Google Gemini | G2: Make clear how well the system can do what it can do

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Guideline 2 > Example

Google Gemini | G2: Make clear how well the system can do what it can do

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Guideline 2 > Example

AI-framed questioning | G2: Make clear how well the system can do what it can do

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Guideline 2 > Example

Visual uncertainty highlighting | G2: Make clear how well the system can do what it can do

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Guideline 2 > Example

Uncertainty highlighting | G2: Make clear how well the system can do what it can do

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Guideline 2 > Example

Background explanations | G2: Make clear how well the system can do what it can do

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Guideline 2 > Example

Contrastive explanations | G2: Make clear how well the system can do what it can do

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Guideline 2 > Example

AI Critiques | G2: Make clear how well the system can do what it can do

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Guideline 2 > Example

Hugging Chat | G2: Make clear how well a system can do what it can do 

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Guideline 2 > Example

Copilot in Word | G2: Make clear how well the system can do what it can do

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Guideline 2 > Example

Copilot in PowerPoint | G2: Make clear how well the system can do what it can do

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Guideline 2 > Example

Google Search | G2: Make clear how well a system can do what it can do

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Guideline 2 > Example

Google Bard | G2: Make clear how well a system can do what it can do

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Guideline 2 > Example

Hugging Chat | G2: Make clear how well a system can do what it can do

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Guideline 2 > Example

Business Chat | G2: Make clear how well the system can do what it can do

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Guideline 2 > Example

Copilot in Outlook | G2: Make clear how well the system can do what it can do

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Guideline 3 > Example

Copilot in Teams | G3: Time services based on context

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Guideline 4 > Example

Copilot in Word | G4: Show contextually relevant information

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Guideline 4 > Example

Business Chat | G4: Show contextually relevant information

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Guideline 5 > Example

Copilot in PowerPoint | G5: Match relevant social norms

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Guideline 6 > Example

Bing Search | G6: Mitigate social biases

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Guideline 7 > Example

Copilot in Word | G7: Support efficient invocation

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Guideline 7 > Example

Copilot in Outlook | G7: Support efficient invocation

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Guideline 8 > Example

Copilot in Outlook | G8: Support efficient dismissal

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Guideline 9 > Pattern 9B > Example

Copilot in PowerPoint | 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 > Example

Copilot in PowerPoint | G9: Support efficient correction

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Guideline 10 > Pattern 10A > Example

Copilot in Word | 10A: Disambiguate before acting

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Guideline 10 > Pattern 10A > Example

Github Copilot | 10A: Disambiguate before acting

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Guideline 10 > Example

Copilot in PowerPoint | G10: Scope services when in doubt

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Guideline 11 > Pattern 11A > Example

Verification-focused explanations | 11A: Local explanations

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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 11B > Example

D365 Marketing | 11B: Global explanations

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Guideline 11 > Pattern 11D > Example

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

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Guideline 11 > Pattern 11G > Example

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

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Guideline 12 > Example

Business Chat | G12: Remember recent interactions

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Guideline 15 > Pattern 15A > Example

Copilot in Excel | 15A: Encourage explicit feedback on individual system outputs

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Guideline 15 > Pattern 15D > Example

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

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Guideline 17 > Example

Hugging Chat | G17: Provide global controls

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Guideline 17 > Example

Windows Copilot | G17: Provide global controls

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