To form consensus and offset worker error, requesters in centralized micro task structures assign teams of up to fifteen workers to the same task, and the resulting multiplication of work significantly increases the cost of micro task work and produces waste when requesters pay proportionally for redundant output.
Source quote, verbatim
set up teams of up to 15 workers to perform the same task in an effort to form a consensus. The multiplication of work inherent in this process significantly increases the cost of micro task work.
From
Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024), Lack of Scaling Solutions in Centralized Micro Task Market: Duplication of Work, p. 22 https://ssrn.com/abstract=4755632 · source PDF
Cite as
Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632
Holds when
applies to centralized micro task platforms using redundancy for consensus
extendskaal:claim:3128900-008 To offset human limitations, requesters in centralized micro task structures assign the same task to teams of ...
extendskaal:claim:3128900-009 Consensus by redundancy fails economically: multiplying the same work across many workers significantly increa...
restateskaal:claim:3128900-010 Paying proportionally, up to fifteen times, for the same project output is waste, and the necessity of multipl...
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