Profiling & Automated Decisions in Criminal Justice

14th Conference on the Future of Adversarial and Inquisitorial Systems

Directions
  • Start: May 7, 2025
  • End: May 9, 2025
  • Location: Freiburg/Germany, Fürstenbergstr. 19
  • Room: Seminar room (F 113)
  • Host: MPI-CSL in cooperation with UNC School of Law, Warwick Law School, and Università di Bologna
  • Contact: conference@csl.mpg.de


Please register by email at if you are interested in attending; there are 10 places available for external interested parties.
 


The use of AI in criminal proceedings raises concerns about the right to a fair trial as we know it today. In particular, automated decision-making and profiling based on expert systems, machine learning, natural language processing, and deep learning to assess evidence, monitor risks, predict recidivism, and even assist in judgments pose serious challenges to fundamental legal principles such as due process, the right to confront incriminating evidence, defense rights, transparency, and non-discrimination. The aim of this conference is to address these problems with panels dedicated to explaining the technology and its significance in the different stages of a criminal trial; this will be enhanced through the adoption of a comparative perspective, with a special emphasis on the traditions of inquisitorial and adversarial systems. The different presentations shall highlight EU initiatives as well as US approaches and particularities in criminal justice systems heavily influenced by plea bargaining solutions. This event will bring together leading scholars and early career researchers from Europe and the US to explore the evolving role of AI in criminal justice systems.
 

Book launch on May 7, 5–6 pm
A book launch will highlight the importance of explaining the Law of Human-Robot Interaction and will pay tribute to the publication of Human-Robot Interaction in Law and Its Narratives, which explores the legal challenges posed by robots in society with an examination of substantive and procedural law, addressing issues like criminal liability and evidentiary reliability, and discussing at the same time how legal narratives shape our understanding of human-robot interactions.
Gless, S., & Whalen-Bridge, H. (Eds.). (2024). Human-robot interaction in law and its narratives: Legal blame, procedure, and criminal law. Cambridge: Cambridge University Press. doi:10.1017/9781009431453
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