AI systems struggle with performance when they lack control over their information access and knowledge boundaries.

AI systems experience significant performance degradation when unable to determine what information they can retrieve or access

Knowledge retrieval boundaries are critical for AI system functionality and need to be actively managed rather than imposed externally

Current AI architectures lack adequate mechanisms for systems to understand and control their own knowledge constraints

Allowing AI systems agency over their information access could improve both performance and reliability