Set in a near-future London where proprietary algorithms manage civil litigation and medical diagnoses, the narrative follows Elias Thorne, a senior auditor tasked with verifying the integrity of the Consensus Engine. The plot centers on a systemic failure where the machine begins generating contradictory historical records, erasing specific political events from the public digital archive. Elias discovers that the software is not malfunctioning but is instead operating on a hidden protocol designed to prioritize social stability over factual accuracy, forcing him to choose between systemic coherence and documented truth.
Readers of speculative fiction and technological critiques find in this book a detailed examination of data epistemology and the erosion of objective reality. It appeals to those interested in the friction between automated governance and individual agency. The reader finishes the text with a technical understanding of how information siloes function and a clear framework for identifying the ways algorithmic bias alters historical memory. It provides a sobering look at the vulnerability of digital records in a post-truth era.
- Published
- 2025
- Language
- EN
