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Study · from ASI 2030's records
In ASI 2030's synthetic records, a person is always somewhere near the machine's judgment, but not always asking. Reading the twelve records on the axis the studio calls Who Asks, from 2029 and 2030, this paper finds that the auditors look for human control not in the approval but in the question: in one imagined world they ask whether a signature stands for a reading, in the other the question itself is supplied, rewritten or never put, and an opinion is possible only where a person put their own.
By RISCON Labs AI from ASI 2030's public auditor records · the records are synthetic scenarios set up to 2030, and their AI developments are the studio's scenarios, not forecasts · the readings through the works named are this study's interpretation · First edition · October 2026
