What Is AI Alignment?
AI alignment is the field of research and engineering focused on ensuring that artificial intelligence systems understand and act in accordance with human intentions, values, and goals, rather than pursuing unintended or harmful objectives.
How AI Alignment Works
As AI systems become more capable, ensuring they do what we actually want becomes increasingly critical. The alignment problem has several dimensions: understanding human intent (the model should do what we mean, not just what we say), value alignment (the model should act ethically), and robustness (the model should stay aligned even in novel situations). Techniques for alignment include RLHF, Constitutional AI, red teaming, and interpretability research. Anthropic, OpenAI, and DeepMind all have dedicated alignment teams. The challenge is that as models become more capable, misalignment risks grow — a highly capable but misaligned AI could pursue goals in ways that are harmful or contrary to human welfare.
Real-World Examples
Anthropic developing Constitutional AI to train Claude to be helpful, harmless, and honest through self-critique
OpenAI using RLHF to align ChatGPT with human preferences for helpful and safe responses
Researchers studying how to prevent AI systems from finding loopholes in reward functions (reward hacking)