Safety checks are built-in rules, filters, or mechanisms designed to prevent artificial intelligence systems from performing dangerous, harmful, or unintended actions. These checks help ensure that AI operates within ethical and legal boundaries, protecting users from risks such as data leaks, offensive content, or malicious behavior. Safety checks are essential for maintaining trust and reliability in AI technologies, as they automatically monitor and restrict actions that could lead to negative outcomes.