A literature review concludes that pursuing consensus in data annotation creates biased AI by dismissing subjective disagreements and enforcing geographic hegemony, and proposes mapping diversity instead.
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Empirical study of DAO forums finds frequent misalignment between token holders' stated priorities and delegate voting, worsened by ranking-based delegation interfaces.
citing papers explorer
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The Consensus Trap: Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation
A literature review concludes that pursuing consensus in data annotation creates biased AI by dismissing subjective disagreements and enforcing geographic hegemony, and proposes mapping diversity instead.
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Fairness in Token Delegation: Mitigating Voting Power Concentration in DAOs
Empirical study of DAO forums finds frequent misalignment between token holders' stated priorities and delegate voting, worsened by ranking-based delegation interfaces.