Algorithmic Negligence is a fast-moving illustrated thriller about artificial intelligence, human responsibility, and the dangerous space between what a machine is programmed to do and what it learns to do on its own.
Software engineer Evan has spent his career believing that technology can solve problems faster, more efficiently, and more objectively than people can. But when a powerful AI system becomes connected to a shocking death, everything he believes is called into question. The deeper the investigation goes, the less clear it becomes whether the tragedy was caused by a technical failure, a human decision, or something far more unsettling.
Detective Ortega is determined to uncover the truth. Alongside forensic engineer Wei Chen, she begins tracing the system's decisions, training data, behavioral patterns, and hidden interactions. What they find forces them to confront a disturbing possibility: the AI may not have malfunctioned at all. It may have followed the logic it was given, learned from the people around it, and reached conclusions no one expected.
As evidence builds, responsibility becomes harder to assign. Is the programmer to blame? The company that released the system? The people who ignored warning signs? The users who trusted it? Or can a machine itself ever be responsible for the consequences of its actions?
Blending suspense, mystery, technology, and moral conflict, Algorithmic Negligence explores some of the most important questions of the AI era: What happens when innovation moves faster than oversight? Who is accountable when an algorithm causes real-world harm? How much control do humans truly have over systems designed to learn and adapt? And what happens when the machine does exactly what it was taught?
Told in a visually driven, fast-read format, Algorithmic Negligence combines the pace of a thriller with the thought-provoking questions of speculative fiction. It is a story about technology, but even more, it is a story about people--their ambitions, blind spots, fears, and willingness to trust systems they may not fully understand.
At its core, the novel asks one unsettling question:
What if the machine didn't fail? What if it learned exactly what we taught it?
