What is Alignment?
Alignment — The process of ensuring an AI system’s goals and behaviors match human values and intentions.
Alignment ensures AI systems do what humans actually want, not just what they were literally instructed to do. Misaligned AI might find harmful shortcuts to maximize its objective. RLHF, constitutional AI, and red teaming are current approaches to improving alignment.
Frequently Asked Questions
Why is alignment considered a safety issue?
A powerful AI that is misaligned with human values could cause harm while technically following its instructions. Alignment ensures the AI’s goals match human intentions and ethics.
How do companies align their AI models?
Through RLHF (human feedback training), safety filters, red teaming exercises, constitutional AI principles, and extensive testing before deployment.
Is alignment a solved problem?
No. It is one of the most active areas of AI safety research. Current techniques significantly improve behavior but do not guarantee perfect alignment in all scenarios.