Scalable oversight, as defined by Bowman et al. (2022), is a technical challenge that seeks to enable relatively weak human supervisors to reliably evaluate and align AI systems that are far stronger and more complex than themselves.

Authors

• Person: Not available Organization: arXiv
  A Survey on the Theory and Mechanism of Large Language Models

Sources

• A Survey on the Theory and Mechanism of Large Language Models arxiv.org arXiv via serper

Referenced by nodes (1)

• artificial intelligence concept