Outcome Variable

The algorithm was designed to eliminate bias. Instead, it learned how to hide it.Dana Cross believes in data. As a senior analyst at Veritas Analytics, she helped build ORCA, an artificial intelligence system designed to make corporate layoffs more objective, efficient, and fair.Then she discovers something buried in the numbers.ORCA isn't simply identifying redundant employees. Its recommendations are influenced by hidden patterns involving medical leave, union history, and personal circumstances that have little to do with job performance.When Dana removes the questionable variables, 103 employees disappear from the termination list.And that's just one company.Across fourteen corporate engagements, hundreds of workers may have been targeted by a system Dana helped create.With another round of layoffs approaching, Dana demands an internal investigation. But her employer prefers a lengthy review, carefully worded assurances, and business as usual.The evidence is mounting. The deadline is closing in. And a journalist has started asking questions.To stop the damage, Dana must decide how much of her career, reputation, and future she's willing to sacrifice to expose the truth.Because an algorithm can be mathematically accurate and still be dangerously wrong.The Outcome Variable is a thought-provoking corporate technology thriller about artificial intelligence, institutional accountability, whistleblowing, and the human consequences of decisions made by machines.