HAX Design Library

Guideline 2

Make clear how well the system can do what it can do

Help the user understand how often the AI system may make mistakes.

Guideline 2 > Pattern 2A

Pattern 2A: Match the level of precision in UI communication with the system performance – Language

Guideline 2 > Pattern 2B

Pattern 2B: Match the level of precision in UI communication with the system performance – Numbers

Guideline 2 > Pattern 2C

Pattern 2C: Report system performance information

Guideline 2 > Pattern 2D

Pattern 2D: Provide low performance alerts

Guideline 6

Mitigate social biases

Ensure the AI system’s language and behaviors do not reinforce undesirable and unfair stereotypes and biases.

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 8 > Example

Instagram | G8: Support efficient dismissal

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 9B

Pattern 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

Guideline 9 > Pattern 9D

Pattern 9D: Do G9 through G15

Guideline 9 > Pattern 9D > Example

Instagram | 9D: Do G9 through G15

Guideline 9 > Pattern 9E

Pattern 9E: Batch-editing data

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

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