Example Concept: AI systems can maintain safety and ethics by incorporating privacy-preserving techniques such as differential privacy, which adds noise to data to prevent individual identification, and implementing strict access controls and encryption to protect data integrity. Additionally, ethical guidelines should be established to govern data use, ensuring transparency, accountability, and fairness, while regular audits and monitoring can help detect and mitigate potential risks or biases in AI models.