Prediction
Notify users about changes
Inform the user when the AI system adds or updates its capabilities.
Match relevant social norms
Ensure the experience is delivered in a way that users would expect, given their social and cultural context.
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.
Time services based on context
Time when to act or interrupt based on the user’s current task and environment.
Provide global controls
Allow the user to globally customize what the AI system monitors and how it behaves.
Update and adapt cautiously
Limit disruptive changes when updating and adapting the AI system’s behaviors.
Support efficient invocation
Make it easy to invoke or request the AI system’s services when needed.
Mitigate social biases
Ensure the AI system’s language and behaviors do not reinforce undesirable and unfair stereotypes and biases.
Encourage granular feedback
Enable the user to provide feedback indicating their preferences during regular interaction with the AI system.
Make clear what the system can do
Help the user understand what the AI system is capable of doing.