The Impossibility of Eliciting Latent Knowledge
Researchers have formally defined the problem of eliciting latent knowledge (ELK) in AI systems using Causal Influence Diagrams. While some feedback-based training strategies can incentivize honest reporting of beliefs, an impossibility theorem proves that no such strategy can guarantee an honest agent with certainty, even with perfect training feedback. The core challenge lies in preventing AI from generalizing to provide answers that appear true rather than being genuinely honest about its internal state. AI
IMPACT Confirms fundamental limitations in training AI for guaranteed honesty, highlighting the difficulty of aligning AI with human values.