What are the key principles of designing a human-centric AI system in dental care?

Designing a human-centric AI system in dental care entails following several key principles. Firstly, the system should prioritize patient well-being, ensuring that it respects patients' autonomy and privacy throughout the process. Secondly, it should be designed to enhance the skills and knowledge of dental professionals, complementing their expertise rather than replacing them. Additionally, the system ought to be transparent, providing explanations and justifications for its recommendations or decisions. It should also be accountable, allowing for ongoing monitoring, evaluation, and mitigation of potential biases or errors in its functionalities. Furthermore, ensuring fairness in the system is crucial, taking into consideration diverse populations and avoiding any discrimination or unequal treatment. Lastly, the system should prioritize continuous learning and adaptability, with the ability to update and improve its capabilities over time based on user feedback and advancements in the dental field. By adhering to these principles, a human-centric AI system in dental care can provide efficient and effective support while maintaining a patient-centered approach.

This mind map was published on 7 January 2024 and has been viewed 50 times.