The goal is to make it easier to produce distributed Human Intelligence Tasks (HIT, nomenclature courtesy Amazon). HITs include production of training data, general class of recognition problems such as image recognition tasks that humans can do with very little error and which machines are still somewhat bad at, surveys (where the source of data in the human being surveyed) etc.
The general idea traces its ancestry to CAPTCHA, which was developed to solve two problems at the same time -- provide a way to websites to distinguish between humans and bots, and help OCR written (or heard) material. But it differs from CAPTCHA in three ways. First, our goal is to not try to solve two problems at once. Thus, instead of current CAPTCHA systems, which make it as hard as possible for humans to get the answer right, we want to invert that logic -- make it as easy for humans to get the answer right. Second, we want to build it for tasks other than recognition tasks. Third, we plan to attach it to a payment architectu