Mechanisms for belief elicitation without ground truth
Niklas Valentin Lehmann

TL;DR
This review analyzes various mechanisms designed to incentivize truthful information sharing without verification, highlighting the gap between theoretical guarantees and limited empirical validation, and emphasizing the need for simpler, more testable mechanisms.
Contribution
It provides a comprehensive review of over 25 mechanisms for belief elicitation without ground truth and discusses the challenges in empirically validating these mechanisms.
Findings
Many mechanisms are theoretically truthful but lack empirical support.
Complex mechanisms are difficult to implement and test empirically.
Simpler mechanisms may be more effective for practical application.
Abstract
This review article examines the challenge of eliciting truthful information from multiple individuals when such information cannot be verified, a problem known as information elicitation without verification (IEWV). This article reviews over 25 mechanisms designed to incentivize truth-telling in such scenarios and their effectiveness in empirical studies. Although many mechanisms theoretically ensure truthfulness as a Bayesian Nash Equilibrium, empirical evidence regarding the effects of mechanisms on truth-telling is limited and generally weak. Consequently, more empirical research is needed to validate mechanisms. However, empirical validaton is difficult because most mechanisms are very complex and cannot be easily conveyed to research subjects. This review suggests that simple and intuitive mechanisms may be easier to empirically test and apply.
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Taxonomy
TopicsEpistemology, Ethics, and Metaphysics · AI-based Problem Solving and Planning · Speech and dialogue systems
