When the Model Was Wrong: Stories from the Front Lines of System Failure

8 systems. 8 failures. 8 moments where AI made the wrong call.A patient flagged incorrectly by a diagnostic model.A claim denied by an automated decision system no one could fully explain.A man misidentified by a facial recognition system and detained for a crime he did not commit.Each story reveals not just what went wrong, but why.When the Model Was Wrong is a series of forensic, real-world case reconstructions showing how intelligent systems fail, not because the models are flawed, but because the systems around them lack proper oversight, controls, and accountability.A compelling read for anyone building, regulating, or relying on AI, and a blueprint for how to get governance right. Read more