This document provides a summary of the First Workshop on 'supporting CRIme reSolution Through Artificial INtelligence' (CRISTAIN 2025), which has been accepted at the 6th Biannual Conference of the Italian SIGCHI Chapter (CHItaly 2025). • Computing methodologies → Artificial intelligence ; Natural language processing; Information extraction; • Humancentered computing → Graphical user interfaces; • Applied computing → Computer forensics.
All crime, whether criminal, interpersonal or socio-political, can have a negative impact on security and its perception, possibly causing serious economic and social problems. In this concerning context, it is essential to support law enforcement agencies, journalists, and the general public with efective methods to address and communicate these phenomena, providing citizens with a greater sense of safety. Innovative projects in this area could include the development of automated processes for collecting evidence without compromising the crime scene, advanced approaches to evidence analysis for generating models that support investigative decisionmaking, and digital event reconstruction methods and tools that enable more efective interaction with case-related information.
At the same time, adopting new technologies in journalism is
also important. Inaccurate reporting of crime stories can distort
public perception, potentially leading to a skewed understanding
of reality. These are just a few examples of how emerging
technologies, such as Artificial Intelligence (AI), can provide valuable
support in a complex and highly regulated field [
Examples of AI-based technologies [
Topics of interest include, but are not limited to: • Crime Scene Analyses • Case-studies on Crime Analyses • Context-aware decision making • Decision support system • Process management in complex domains • Domain-specific data collection • Data Extraction, Transformation and Loading • Data preparation and processing • Conversational AI and voice interfaces • Personalization and predictive interaction • Distributed interactions among intelligent systems • AI-based adaptive systems • Unbiased AI systems • Ethics and Trustworthy AI • Awareness and transparency in technology usage • Environmental impacts of technologies • Immersive experiences and virtual environments • Integration of technologies in complex domains • Haptic and olfactory technologies • New sensory dimensions for user experiences • Redefining human capabilities through technology
The workshop program is built around a series of reviewed scientific contributions, which will be published in the CEUR Workshop Proceedings1. The accepted papers highlight two main directions: the development of tools to support law enforcement agencies, and the need to provide resources and methodologies for supporting the reporting of criminal events to the public. Regarding the ifrst direction, the reviewed papers demonstrate how AI can provide valuable support to law enforcement operations, with new technologies proving efective in enhancing various aspects of investigative work. The second direction is equally significant, as it is essential to promote communication strategies that are as balanced as possible, in order to mitigate distortions and encourage a fair and informed representation of events. Finally, the workshop contributions share a human-oriented design approach, aimed at creating intuitive, accessible solutions that are genuinely useful for practitioners in the field as well as for those involved in the dissemination of crime-related information. as General Chair of EDBT/ICDT 2024 and Program co-Chair of various international conferences, such as DMSVIVA and SEKE, in 2020 and 2024, respectively. She is currently vice co-Chair of the IEEE Big Data Conference. Her research interests include Data Science, Artificial Intelligence, and End User Development, in which she has published numerous articles in international journals and conference proceedings.
Autilia Vitiello (e-mail: autilia.vitiello@unina.it) is a tenure-track Associate Professor at the Department of Physics "Ettore Pancini" of the University of Naples Federico II since 2022. She obtained her Ph.D. in Computer Science from the University of Salerno in 2013. She was an Assistant Professor from December 2018 to July 2022. Her research interests include computational intelligence and its integration with quantum computing. Dr. Vitiello is the Chair of the IEEE-SA P2976 Working Group (WG), and she acts as a Secretary for the IEEE-SA 1855 WG. She is an Editorial Board member of Springer Quantum Machine Intelligence. Moreover, she is the Principal Investigator of the project BLOODSTAIN funded in the program PRIN 2022 (grant number E53D23008040001). She was the recipient of the Best Paper Award at the United Kingdom Workshop on Computational Intelligence, UKCI 2012 (Edinburgh, Scotland, U.K.), of the Best Paper Award at the 2021 IEEE International Conference on Fuzzy Systems, IBM Quantum Experience Academic Research Program Award, and IEEE Computer Society Emerging Technology Grant to initiate the creation of a new research network in the field of quantum artificial intelligence in 2022.
This work was supported by project BLOODSTAIN funded in the program PRIN 2022 (grant number E53D23008040001).