Delegation and Participation in Decentralized Governance: An Epistemic View
Jeff Strnad

TL;DR
This paper evaluates decentralized governance methods using epistemic tests, finding partial abstention effective, highlighting weaknesses in transfer delegation, and exploring how direct participation and auxiliary tools can improve decision accuracy.
Contribution
It introduces epistemic tests to assess governance methods, demonstrates the strengths of partial abstention, and analyzes the epistemic limitations of transfer delegation and supplementary tools.
Findings
Partial abstention outperforms other delegation methods epistemically.
Transfer delegation has inherent epistemic weaknesses.
Direct participation can sometimes negatively impact decision correctness.
Abstract
We develop and apply epistemic tests to various decentralized governance methods as well as to study the impact of participation. These tests probe the ability to reach a correct outcome when there is one. We find that partial abstention is a strong governance method from an epistemic standpoint compared to alternatives such as various forms of ``transfer delegation" in which voters explicitly transfer some or all of their voting rights to others. We make a stronger case for multi-step transfer delegation than is present in previous work but also demonstrate that transfer delegation has inherent epistemic weaknesses. We show that enhanced direct participation, voters exercising their own voting rights, can have a variety of epistemic impacts, some very negative. We identify governance conditions under which additional direct participation is guaranteed to do no epistemic harm and is…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGame Theory and Voting Systems · Epistemology, Ethics, and Metaphysics · Ethics and Social Impacts of AI
