She stared at the options. In a world that wanted decisive numbers, a provisional score could be weaponized. Yet refusing to give a number could be seen as a failure of the system’s promise. The clock ticked past 13:12:00, and the eyes of the board members—watching from a remote conference room—were on her.
PureMature wasn’t a typical tech startup. Its mission, painted in glossy brochures, was “to build a pure, mature society where every decision is guided by transparent data.” The flagship product was Score X—a machine‑learning model that could evaluate a person’s reliability, creativity, and ethical alignment in a single, numerical value. It promised to eliminate bias from hiring, lending, and even dating. The idea had captured the imagination of investors, governments, and the public alike. PureMature.13.11.30.Janet.Mason.Keeping.Score.X...
“Begin,” Janet whispered, more to the empty room than to anyone else. She stared at the options