This article was originally published on AI Study Room . For the full version with working code examples and related articles, visit the original post. AI Safety: Responsible Development and Deployment AI safety encompasses the technical and organizational practices for developing and deploying AI systems that behave as intended. As LLMs and AI agents handle increasingly critical tasks, safety considerations become paramount. Alignment Alignment ensures AI systems pursue the goals their developers intend. Three levels: base alignment (model follows instructions), helpfulness alignment (model assists users constructively), and safety alignment (model refuses harmful requests). RLHF (Reinforcement Learning from Human Feedback) remains the primary alignment technique. Training data includes preferred and dispreferred outputs. The model learns to prefer responses that humans rank highly. Constitutional AI (used by Anthropic) uses a set of principles to guide model behavior without extensive human labeling.…