Superalignment
Definition
Superalignment addresses the question of how much highly capable AI systems can be aligned with human goals.
It refers to the alignment of potential systems whose capabilities exceed those of human supervisors. The challenge lies in reliably assessing behavior that humans cannot fully comprehend themselves.
Simply explained
How do you control a helper who understands some tasks better than you do?
Why it matters in practice
The term describes a long-term safety problem and highlights the limits of simple human evaluation.
Example from business
Hypothetical example: A research team investigates whether weaker models can reliably supervise stronger models on clearly measurable tasks.
Limits and pitfalls
- The term is not proof that superintelligence already exists or that the alignment problem is solved.
Origin & history
OpenAI used the name for a research initiative on aligning advanced AI systems.
Use in mid-sized companies
- Understand as background for AI governance; continue to secure current applications with concretely verifiable controls.
Frequently asked questions
Is Superalignment a finished safety feature?
No, it denotes a research task.
Sources
Editorially reviewed on: