Artificial Intelligence Safety refers to the measures and practices aimed at ensuring that AI systems operate reliably and do not cause harm. This includes designing algorithms that are transparent, predictable, and aligned with human values. Safety protocols help prevent unintended consequences that could arise from AI decision-making. To achieve AI Safety, researchers focus on various strategies, such as robust testing, ethical guidelines, and continuous monitoring of AI behavior. Collaboration among scientists, policymakers, and industry leaders is essential to create standards that promote safe and beneficial AI technologies for society.