Three years later, Mike stood in the same conference room where he had first questioned Dr. Chen about the 0.3%. But everything else had changed.

Algorithm, Inc. was now considered a model for ethical AI development. The company had published its fairness metrics, opened its algorithms to external audit, and established a precedent that other companies were forced to follow.

Mike had become a reluctant public figure - interviewed by journalists, invited to speak at conferences, consulted by lawmakers. He never sought the attention, but he used every opportunity to push for more transparency, more accountability, more human oversight.

"Mike?" Lisa appeared in the doorway. "The new batch of loan applications is ready for review."

He nodded and followed her to the ethics division. The team had grown from just him to over fifty people - analysts, lawyers, ethicists, community advocates. They reviewed every flagged case, every exception, every person who did not fit the algorithm's neat categories.

"Anything interesting?" he asked.

"Actually, yes." Lisa pulled up a file. "This one. The algorithm approved it, but something feels off."

Mike studied the application. On paper, everything looked correct. But Lisa was right - there was something the algorithm had missed. A pattern that only a human would notice.

"Good catch," he said. "This is why we are here."

That evening, Mike walked home through the city. He thought about Maria, whose business was now a neighborhood institution. He thought about Dr. Chen, who had left to teach ethics at a university. He thought about all the people who had been denied opportunities by algorithms that did not care about fairness.

The algorithms would keep evolving. New systems would emerge with new biases, new blind spots, new failures. But as long as there were people willing to question them, to push back, to fight for the exceptions - there was hope.

The next morning, Mike arrived at the office to find an unexpected visitor waiting. A woman in her thirties, dressed in a sharp business suit, stood in the lobby. She introduced herself as Jennifer Walsh, a senior executive from a company called DataFlow.

"I have been following your work," she said. "And I think we have a problem you need to see."

She handed him a folder. Inside were documents detailing a new AI system - one that made Algorithm, Inc.'s original model look primitive. This system was being deployed across dozens of industries, making millions of decisions every day.

"The scary part?" Jennifer lowered her voice. "No one knows how it works. Not even the developers. It has started making decisions that no one programmed it to make."

Mike felt a chill. This was exactly what he had been warning about - the black box problem, scaled up to a level no one had anticipated.

"We need your help," Jennifer said. "Will you take a look?"

Mike looked at the folder, then at Jennifer. He had built something good at Algorithm, Inc. He had a team, a mission, a purpose. But this was bigger. This was the next frontier in the fight for fair AI.

"Tell me more," he said.