Confidence Laundering in Agent Systems: Why Uncertainty Needs a Latent Carrier
For developers of multi-agent systems, this work highlights a critical interface bottleneck in uncertainty propagation, though it remains a position paper without empirical validation.
The paper identifies 'confidence laundering' as a failure mode in agent systems where uncertainty is lost at component interfaces, leading to overconfidence and error amplification. It proposes 'latent uncertainty' as a carrier to preserve uncertainty across handoffs, aiming for more recoverable systems.
Modern agent systems can turn uncertainty into overconfidence. Fragile upstream decisions are often exposed to downstream components as clean intermediate artifacts, while the uncertainty behind those decisions is lost at the interface. As a result, local ambiguity can become system-level error amplification. We argue that this reveals an interface bottleneck in agent uncertainty propagation: uncertainty does not propagate simply because a trajectory contains uncertain steps; it propagates only when it survives the handoff between components. We define uncertain decision handoff as the transfer of an intermediate decision made under uncertainty, and identify confidence laundering as a failure mode in which fragile upstream states are repackaged as procedurally valid artifacts that downstream agents over-trust. To address this bottleneck, we propose latent uncertainty as an uncertainty-bearing carrier attached to decision handoffs. Rather than replacing text with hidden states, latent uncertainty aims to preserve pre-commitment fragility in a form that downstream components can use. This position shifts agent uncertainty propagation from step-wise uncertainty estimation toward uncertainty-preserving interface design for more recoverable agent systems.