Make clear what the system can do
Help the user understand what the AI system is capable of doing.
Make clear how well the system can do what it can do
Help the user understand how often the AI system may make mistakes.
Time services based on context
Time when to act or interrupt based on the user’s current task and environment.
Show contextually relevant information
Display information relevant to the user’s current task and environment.
Match relevant social norms
Ensure the experience is delivered in a way that users would expect, given their social and cultural context.
Mitigate social biases
Ensure the AI system’s language and behaviors do not reinforce undesirable and unfair stereotypes and biases.
Support efficient invocation
Make it easy to invoke or request the AI system’s services when needed.
Support efficient correction
Make it easy to edit, refine, or recover when the AI system is wrong.
Scope services when in doubt
Engage in disambiguation or gracefully degrade the AI system’s services when uncertain about a user’s goals.
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.
Remember recent interactions
Maintain short-term memory and allow the user to make efficient references to that memory.
Learn from user behavior
Personalize the user’s experience by learning from their actions over time.
Update and adapt cautiously
Limit disruptive changes when updating and adapting the AI system’s behaviors.
Encourage granular feedback
Enable the user to provide feedback indicating their preferences during regular interaction with the AI system.
Convey the consequences of user actions
Immediately update or convey how user actions will impact future behaviors of the AI system.
Provide global controls
Allow the user to globally customize what the AI system monitors and how it behaves.