Which pillar of Responsible AI focuses on safety and security?

The pillar of Responsible AI that focuses on safety and security is Security. This aspect emphasizes the importance of protecting sensitive data and ensuring that AI systems are resilient against adversarial attacks or malfunctions that could jeopardize user safety or confidentiality.

In the context of AI applications in dentistry, security is vital as patient data is often highly sensitive, and any lapse in security could lead to serious implications such as data breaches or unauthorized access. By prioritizing security, AI systems can be designed to safeguard against threats and maintain the trust of patients and professionals alike.

While other pillars like fairness, reliability, and human-centered design contribute to overall responsible AI practices, they do not specifically address the dimensions of safety and security to the same extent as the Security pillar does. Fairness deals with bias and equitable treatment, reliability focuses on the performance consistency of the AI system, and human-centered design emphasizes usability and the needs of users, but none of these directly address the safeguarding of the system against vulnerabilities.