Which term refers to the broad objective of maintaining human oversight in the face of powerful AI?

• A. Scalable Oversight
• B. AI Control
• C. AI Welfare
• D. Frontier Model

Answer: (A)

Scalable oversight is the idea of keeping humans responsible for guiding and correcting AI behavior even as systems become incredibly capable. The challenge isn’t just one-off checks; it’s designing processes that scale with the model’s speed and complexity. This means building feedback loops, interpretability and auditing tools, and evaluation methods that let human judgments influence the system effectively at scale. It also includes approaches like iterative amplification or debate, where human insights are woven into the decision process in a scalable way, rather than relying on constant direct supervision.

It’s the best fit because it specifically targets maintaining human oversight across increasingly powerful AI, whereas AI control focuses more on imposing constraints, AI welfare shifts the focus to ethics or well-being rather than supervision, and frontier model describes the most capable models themselves, not the oversight objective.