AI Safety
The interdisciplinary field focused on ensuring AI systems behave as intended and do not cause unintended harm, especially as systems become more capable.
Key Research Areas
Alignment: Ensuring AI goals match human values. Robustness: Making systems reliable under adversarial conditions. Interpretability: Understanding what models learn. Governance: Policies for safe deployment.
Current Concerns
Misuse of powerful models, autonomous systems making harmful decisions, deceptive alignment (appearing aligned while not being so), and the challenge of maintaining control as capabilities scale.
Organizations
Anthropic, OpenAI Safety, DeepMind Safety, ARC (Alignment Research Center), MIRI (Machine Intelligence Research Institute), and the Center for AI Safety are leading AI safety research.