This guideline emphasizes allowing users to globally customize what the AI system monitors and how it behaves, giving them control over how their personal and health information is collected and shared.
Practical implementation involves providing users with robust privacy settings and customization options within the chatbot interface. This includes allowing users to specify their preferences regarding data collection, sharing, and monitoring. For example, users should have the ability to opt in or out of specific data collection practices, such as tracking mood or behavior patterns.
Furthermore, the chatbot should offer transparency about how user data is used and shared, providing clear explanations and options for users to manage their privacy settings. This may include detailed privacy policies, consent prompts, and granular controls over data sharing preferences.
By giving users control over their personal and health information, the chatbot promotes trust and transparency, fostering a positive user experience. This user-centric approach demonstrates respect for user autonomy and privacy, ultimately leading to greater user satisfaction and engagement with the chatbot.
