# Micro task work `kaal:entity:micro-task-work` **Status.** derived This node is assembled mechanically from the 12 claims that carry the concept tag `micro-task-work`. It is a roster of what the corpus says under this term. It is **not** an adjudicated definition: no single statement here has been ruled canonical, and no first-appearance call has been made. Read the claims and judge for yourself. ## Every claim under this term 12 claims across 1 works, 2024 to 2024. **2024** - [4755632-006](https://wulfkaal.github.io/claims/4755632-006) [definitional/asserted] -- Micro tasks are stipulatively defined as small tasks that require human judgment, can be completed by humans independently over the internet, and form part of a larger unified project. > Micro tasks are defined as small tasks that require human judgment, can be completed by humans independently over the internet, and are part of a larger unified project. Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632 - [4755632-007](https://wulfkaal.github.io/claims/4755632-007) [mechanism/argued] -- Micro task work is valuable precisely because the human judgment it supplies cannot currently be replaced by machines, which lets organizations build products and outcomes that machines alone cannot synthesize. > Because of the necessity of human judgment that cannot currently be replaced by machines/computers, micro tasks enable organizations to build products or create outcomes that cannot be synthesized by machines/computers alone. Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632 - [4755632-008](https://wulfkaal.github.io/claims/4755632-008) [mechanism/argued] -- The quality and quantity of labeled datasets directly governs the performance of the neural network's learning algorithm during supervised training, so the evolution of AI is correlated with the evolution of micro task work. > The higher the quality and quantity of such labeled datasets the better the AI neural network's learning algorithm during the supervised training process. Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632 - [4755632-009](https://wulfkaal.github.io/claims/4755632-009) [failure/argued] *(failure mode)* -- Existing centralized micro task marketplaces cannot adequately fulfill the growing demand for high quality labeled AI training data, because their cost structure requires intermediation, which produces significant overpricing without any of that price reaching the micro task workers. > the cost structure for micro task work in centralized systems that necessitate intermediation results in significant overpricing without benefiting the micro task workers directly. Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632 - [4755632-010](https://wulfkaal.github.io/claims/4755632-010) [failure/argued] *(failure mode)* -- Human shortcomings in micro task work such as limited attention span, irrationality, and inaccuracy create verification requirements, but manual verification is performed by humans subject to the same limitations, so verification does not resolve the quality problem it is meant to solve. > However, manual verification of micro task work is subject to the same human limitations. Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632 - [4755632-011](https://wulfkaal.github.io/claims/4755632-011) [failure/argued] *(failure mode)* -- 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. > 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. Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632 - [4755632-012](https://wulfkaal.github.io/claims/4755632-012) [mechanism/argued] *(failure mode)* -- The necessity of duplicating micro task work depresses worker pay: it subjects micro task workers to lower rates and prevents payment increases, so redundancy based quality control is financed out of worker compensation. > The necessity of multiplication of work also subjects micro task workers to lower rates and lack of payment increases. Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632 - [4755632-013](https://wulfkaal.github.io/claims/4755632-013) [failure/argued] *(failure mode)* -- Because unmanaged centralized micro task platforms do not supply the consumer interfaces needed to accomplish specific tasks, requesters must either build their own tools or pay large fees to startups, and both necessary options result in underutilization of resources. > because unmanaged centralized micro task platforms do not supply consumer interfaces needed to accomplish specific tasks, requesters of micro task work are forced to either build their own tools or pay large fees to startups Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632 - [4755632-014](https://wulfkaal.github.io/claims/4755632-014) [failure/asserted] *(failure mode)* -- Approximately thirty eight percent of the labor pool is unbanked but skilled and therefore excluded from centralized micro task marketplaces, because without a bank account these workers cannot contribute to or profit from the existing marketplace. > the circa 38% of the labor pool that is unbanked but skilled does not currently have access to the centralized micro task marketplaces. Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632 - [4755632-015](https://wulfkaal.github.io/claims/4755632-015) [failure/asserted] *(failure mode)* -- Invasive, privacy challenging, time consuming, and unclear signup and approval processes on centralized platforms create market entry barriers for micro task workers, shrinking the supply of labor available to produce AI training data. > micro workers in centralized systems are faced with invasive, privacy challenging, time consuming, and unclear signup and approval processes that create market entry barriers for micro task workers. Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632 - [4755632-036](https://wulfkaal.github.io/claims/4755632-036) [mechanism/argued] -- Reputation scores on the ALE Platform balance supply and demand through a two-sided incentive: requesters with lower reputation scores find workers less likely to accept their offers, and workers with low reputation scores are less likely to be retained for micro task work. > If requesters have a lower reputation score, workers become less likely to accept requesters' offers. In turn, low reputation scores for micro task workers result in a lower likelihood of retention Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632 - [4755632-039](https://wulfkaal.github.io/claims/4755632-039) [design/argued] -- Operating entirely through crypto transactions removes the transaction costs of micro task work, because centralized mechanical turk platforms require an existing banking relationship to transfer payment to workers who are otherwise unbanked. > Unlike centralized mechanical turk platforms that require an existing banking relationship to receive account transfers for otherwise unbanked micro task workers, the ALE Platform operates entirely through crypto transactions. Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632 ## Verify Every claim above resolves to a record carrying a verbatim source quote, the sha256 of the source PDF, and a preformatted citation. Nothing here asks to be taken on trust. curl -s https://wulfkaal.github.io/entities/micro-task-work.md | sha256sum **Canonical form.** This markdown file is the canonical hashed representation of this entity node. Its sha256 is the content hash.