An AI analyzes seven oil fields in Nigeria, identifying KS Petroleum Company as highly suspicious due to an unusual 15% higher electricity consumption per ton of oil produced, suggesting hidden operations. Duncan Li, impressed by the AI’s data acquisition speed, probes further, leading the AI to uncover informal worker exploitation and employee data anomalies.
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Next, the names of seven oil fields locked in the scope are communicated to the Ai model.
AI quickly started its own thinking and calculations. It collected relevant information about the oil field, then analyzed and compared the data.
After a few seconds, he replied: βI think it is possible to hide thousands of people.β The biggest one is Rafael Petroleum. The reason is that I compared relevant information from seven oil companies at the Nigerian Labor Conference.
This company has the fewest number of registered employees among the seven oil companies, but its production capacity ranks highest among the seven oil companies.
The second company, its per capita output ratio far exceeds the normal standards of the Nigerian oil exploration industry, which proves that there are more unidentified workers working for the company;β
Duncan Li said: βYou also need to consider the possibility of unregistered employees. Your statistical dimension is employee information data, and employee information data comes from the Labor Conference.
This means that only formal workers join unions in the oilfields. The Labor Congress has documented that if they use a large number of informal workers who are not registered, your assessment may be biased;β
AI replied after a few seconds: βWhat you said makes sense. I have checked the relevant information of all informal workers in Nigeria and seen a large number of reports and records of informal workers being maimed or killed while working. It seems that this situation is very common in Nigeria.β