HAX Design Library

Guideline 7

Support efficient invocation

Make it easy to invoke or request the AI system’s services when needed.

Guideline 8

Support efficient dismissal

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

Guideline 9

Support efficient correction

Make it easy to edit, refine, or recover when the AI system is wrong.

Guideline 9 > Pattern 9A

Pattern 9E: Batch-editing data

Guideline 9 > Pattern G9-B > Example

Google Maps | 9B: Rich and detailed edits

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 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 11B

Pattern 11B: Global explanations

Guideline 11 > Pattern 11C

Pattern 11C: Present properties of system outputs

Guideline 11 > Pattern 11D

Pattern 11D: Map system input attributes to system outputs

Guideline 11 > Pattern 11E

Pattern 11E: Map user behaviors to system outputs

Guideline 11 > Pattern 11F

Pattern 11F: Example-based explanations

Guideline 11 > Pattern 11G

Pattern 11G: “What if?” explanations

Guideline 11 > Pattern G11-A > Example

InterpretML | 11A: Local explanations

Guideline 11 > Pattern G11-B > Example

InterpretML | 11B: Global explanations

Guideline 11 > Pattern G11-C > Example

Google Maps | 11C: Present properties of system outputs

Guideline 11 > Pattern G11-G > Example

NerdWallet | 11G: “What if?” explanations

Guideline 12

Remember recent interactions

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

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