2036, Shenzhen.
Lu Hening, who has a PhD in Algorithm Fairness from MIT and is one of the top three talented researchers in the world with the most cited papers. On the first day after returning to China to join the top AI company Deep Dimension AI, he ran into the company's recruitment conference for AI systems.
She found systemic sexism in the system.
She reported it to the company and was asked to remain silent. She persisted and was suspended from her job, banned from the industry, and pushed to the forefront of public opinion - becoming the "scapegoat".
But she is not alone.
Lin Lewen, leader of the annotation team, was the first person to discover that the data was contaminated; R&D VP Su Cheng, an MIT classmate, was the only friend who trusted her; and front-end team leader Zhou Xue, a lurker with a mysterious identity - three women with different backgrounds came together in this storm to form an alliance.
At the same time, rival Jue Vision Technology CEO Shen Jue, a former prosecutor who switched to technology, became both an enemy and a friend. During the confrontation, he gradually discovered a larger black box: three years ago, a "special cleaning" contract involving millions of data subjects pointed to Zhou Lang, the richest man in data, and the "non-existent name" behind him.
Algorithms are not biased, but people determine the bias of data.
They want to prove it.
This is the story of the awakening of a group of female technology workers, and it is also a question of the times about "who will be responsible for the judgment of AI".
Purpose: Surface: Exposing and correcting algorithmic discrimination. Deep: Technical idealists choose in the power structure—coherence, resistance, or reconstruction. Core expression: Data is not biased, but people determine the bias of data; true fairness is not the optimization of algorithms, but human judgment.