AI alignment literature

AI alignment literature explores how to ensure artificial intelligence systems reliably do what we intend and value, even as they become more capable. It addresses challenges like aligning AI goals with human ethics and preferences, preventing unintended consequences. Researchers develop methods to specify safe objectives, design robust algorithms, and create frameworks for ongoing oversight. The goal is to build AI that benefits humanity, avoiding scenarios where AI actions conflict with human interests or cause harm, especially as AI systems grow more autonomous and powerful.