Data processing techniques

This invention describes a system that takes raw data and a list of tasks needed to process it. It then intelligently decides which parts of the work should be done by automated systems and which parts should be done by human workers, specifically by splitting tasks among different groups of crowdsourced workers. The system makes these decisions by comparing costs and considering the past performance of the workers, and then pays them based on their contributions.

Why it matters: Filed before advanced AI and large language models could perform many tasks previously requiring human crowds. The system's logic for optimizing task allocation between automation and workers is now significantly more impactful.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system

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