AI-Driven Criminal Justice: The Sharp Edge of the Automated State
Janko Munjić · Humanity in the Automated State (DigiCon DigiBook) · 27 July 2026
Summary
The contribution examines predictive policing, risk assessment, opaque courtroom tools, and the limits of judge-in-the-loop oversight, arguing that automated evidence should not determine legal outcomes unless it can be meaningfully contested.
Bibliographic record
- Author
- Janko Munjić
- In
- Humanity in the Automated State (DigiCon DigiBook)
- Published
- 27 July 2026
- Publisher
- The Digital Constitutionalist (DigiCon)
- Language
- EN
- Full text
- Open access
Versions of this work
One intellectual work, recorded once. The entries below are different appearances of it, not separate publications.
Web version
The Digital Constitutionalist · 2026-07-27
Version of record
DigiBook — Humanity in the Automated State
DigiBook ISBN, editors and pagination not yet established.
Keywords
Research themes
- Digital Evidence and Contestability
How can courts preserve adversarial review when evidence is encrypted, algorithmically processed or structurally opaque?
- Human Rights and Procedural Safeguards
Under what procedural and human-rights conditions can technological evidence and AI-enabled tools be used in criminal justice?
Related publications
- From Admissibility to Contestability: Structural Opacity, Encrypted-Platform Evidence, and the Limits of Adversarial Review
Journal of Criminology and Criminal Law, 64(1), 2026
Cite this work
Munjić, J. (2026). AI-Driven Criminal Justice: The Sharp Edge of the Automated State. Humanity in the Automated State (DigiCon DigiBook). https://digi-con.org/ai-driven-criminal-justice-the-sharp-edge-of-the-automated-state/