AI safety refers to the field of research focused on ensuring that artificial intelligence systems operate in a manner that is beneficial and aligned with human values. This includes developing methods to prevent unintended consequences, such as harmful behaviors or decisions made by AI systems. Researchers aim to create guidelines and frameworks that help in designing safe and reliable AI technologies. Key aspects of AI safety involve understanding how AI systems learn and make decisions, as well as implementing robust testing and monitoring processes. This is crucial for applications in various sectors, including healthcare, finance, and autonomous vehicles, where the impact of AI can significantly affect people's lives and well-being.