AI Safety

AI Safety refers to the field of research and practice focused on ensuring that artificial intelligence systems are developed and deployed in ways that are safe and beneficial to humans. This encompasses a variety of concerns, including the prevention of unintended consequences, the alignment of AI behavior with human values, and the mitigation of risks associated with AI systems, particularly those involving decision-making, automation, and data handling. Key areas of focus within AI safety include robustness (the ability of AI systems to perform reliably in diverse situations), interpretability (understanding how AI systems make decisions), and ethical considerations (ensuring that AI impacts society positively and equitably). The goal of AI safety is to create systems that are controllable, can be aligned with human intentions, and do not pose threats to individuals or society as a whole.