Scalable agent alignment via reward modeling: a research direction
by DeepMind · free · Last verified 2026-03-17
This research paper proposes a method for aligning advanced AI systems by using recursive reward modeling. The approach leverages AI assistants to help human evaluators assess complex AI actions, enabling scalable oversight and positioning this technique alongside debate and amplification as key AI safety strategies.
https://arxiv.org/abs/1811.07871 ↗C
C—Below Average
Adoption: B+Quality: AFreshness: C+Citations: FEngagement: F
Specifications
- License
- Open Access
- Pricing
- free
- Capabilities
- ai-alignment, scalable-oversight, reward-modeling, recursive-reward-modeling, ai-assisted-evaluation, human-ai-collaboration, iterated-amplification, debate-for-alignment, ai-safety-research
- Integrations
- Use Cases
- [object Object], [object Object], [object Object], [object Object]
- API Available
- No
- Tags
- alignment, scalable-oversight, reward-modeling, recursive, debate, ai-safety, research-paper, human-feedback, iterated-amplification, superintelligence
- Added
- 2026-03-17
- Completeness
- 0.4%
Index Score
46Adoption
72
Quality
88
Freshness
50
Citations
0
Engagement
0