DEBUGGING JUSTICE

Debugging Justice explores what happens when law, human error, institutional design, and artificial intelligence meet inside the systems that judge our lives. Drawing on personal experience, digital forensics, legal research, documentary practice, science, and philosophical inquiry, Deniss Gladkihs examines how information is transformed as it moves from human memory to reports, evidence, algorithms, and judicial decisions. The book asks difficult questions: How much can institutions trust human memory? What happens when legal language becomes inaccessible to ordinary people? Can artificial intelligence reduce inequality in legal understanding, or will it become another tool available mainly to the side with greater resources? What should happen when courts rely on digital evidence, automated systems, risk scores, deepfakes, or machine-generated analysis? Rather than arguing that law should be automated, Debugging Justice makes the case for a more auditable and understandable system—one that preserves evidence, exposes assumptions, allows meaningful challenge, and treats correction as a strength rather than a failure. Written for general readers as well as lawyers, technologists, students, educators, and anyone interested in justice and artificial intelligence, this illustrated work of literary nonfiction invites readers to look behind the interface of modern institutions and ask a deceptively simple question: how do we debug a system built and operated by imperfect human beings?