Help users understand how their actions affect the AI system and outcomes.
Enable users to provide specific feedback on AI performance, improving the system iteratively.
Adapt to user preferences over time, improving personalization while respecting privacy.
Provide confidence indicators and accuracy information so users can make informed decisions.
Users should understand the AI's capabilities and limitations upfront, setting appropriate expectations.
Provide explanations for AI decisions, helping users understand the reasoning behind actions.
Design AI interactions that feel natural and appropriate within cultural and social contexts.
Ensure AI systems are fair, inclusive, and free from harmful biases.
Keep users informed about system updates and changes that affect their experience.
Give users control over AI behavior and settings at a system-wide level.
Maintain context across user sessions, remembering relevant past interactions.
Limit AI actions when uncertainty exists, prioritizing user safety and control.
Present information that matters to the user's current task and context.
Enable users to fix AI mistakes quickly and easily, with clear correction paths.
Allow users to easily ignore or dismiss AI suggestions without friction.
Make it easy for users to access AI features when needed, with clear entry points.
Deliver AI assistance at the right moment, when it's most useful and least disruptive.
Make changes that improve rather than disrupt user workflows, with careful testing.