AI Safety involves implementing practices and principles to ensure AI systems operate reliably, ethically, and securely. It aims to prevent harm, mitigate risks, and align AI behavior with human values. This includes techniques like robustness, interpretability, control measures, and ongoing monitoring, fostering trustworthy AI development that benefits society while minimizing unintended consequences or safety vulnerabilities.