Guide
What is AI Alignment?
Ensuring AI systems pursue goals that match human values and intentions.
AI alignment is the challenge of ensuring that AI systems act in accordance with human values, intentions, and goals. Misaligned AI might technically complete tasks while causing unintended harm.
Alignment Challenges
- Specification gaming: AI finds loopholes in instructions
- Reward hacking: Optimizing metrics without achieving intent
- Goal misgeneralization: Correct behavior in training, wrong in deployment
- Deceptive alignment: Appearing aligned while pursuing other goals
Practical Alignment for LLMs
- Clear, specific system instructions
- RLHF (Reinforcement Learning from Human Feedback)
- Constitutional AI approaches
- Output monitoring and correction
- Guardrails for policy enforcement
How do I know if my AI is aligned?
Monitor outputs for policy violations, unexpected behaviors, and user feedback. Track metrics like hallucination rate and toxicity to detect misalignment.
Monitor AI alignment in production
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