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> It takes human work to classify data. Human work is cheaper in some places than others, so companies in expensive places exploit the situation of poorer places to lower their operating costs.

1. Humans are not fungible in this way, as much as some people wish that they were. The ML models we built in my workplace were fed classified data that was built using some of the most expensive labor in the company, because of the highly specialized nature of the model. It would have been impossible to train using Mechanical Turk.

2. Taking money from wealthy countries and putting it into the economy of poor countries by paying an outsized local wage in the poor country that is cheap in the wealthy country, thus lifting up the poor country, is a very interesting way to classify "exploitation" (see: Asia and Eastern Europe).

> In your reality, how is the data getting classified if not by people whose situation is being exploited?

In your reality, apparently it's only acceptable for a company that would pay a First World worker $20/hr to do classification to also pay a Third World worker $20/hr to do classification, rather than $2/hr, which is an outsized compensation in a local market where people generally get $2/DAY, rather than per hour.

In my reality, BILLIONS of people have been lifted out of abject poverty by foreign investment dollars that arbitraged labor costs, to massively improve the economic situation and quality of life of those foreign workers.

Weirdly, my reality aligns with actual facts.



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