AI safety papers

AI safety papers explore how to develop artificial intelligence systems that are reliable, aligned with human values, and behave predictably. They address concerns like preventing unintended consequences, ensuring AI actions are beneficial, and managing risks associated with powerful AI. These papers propose methods for designing, testing, and monitoring AI to minimize errors, biases, and harmful outcomes as AI becomes more integrated into daily life. Their goal is to make AI development safe and trustworthy, promoting technology that benefits society while avoiding potential dangers.