INTEGRATING KNOWLEDGE MANAGEMENT AND ARTIFICIAL INTELLIGENCE TO OVERCOME CONTEMPORARY CHALLENGES IN DETECTING AND PROVING CRIME
Keywords:
Artificial Intelligence, Artificial Knowledge, Crime Detection, Forensic Investigation, Knowledge Management, Predictive AnalyticsAbstract
This study explores how integrating knowledge management (KM) systems with artificial intelligence (AI) can effectively address contemporary challenges in detecting and proving crime, particularly concerning increasingly sophisticated criminal activities.
The research employs qualitative analysis of recent case studies and literature review, focusing on existing KM frameworks and rapid AI-based analytic tools. This approach allows for swift assessment and immediate application in practical investigative contexts, suitable for short-term investigative requirements.
Preliminary results demonstrate that AI-driven KM systems significantly improve crime detection and evidence-gathering processes. Enhanced data analytics, predictive modeling, and automated evidence correlation provided by AI augment traditional investigative techniques, enabling quicker response times and improved accuracy in criminal investigations.
This paper uniquely bridges the gap between KM practices and contemporary forensic investigation methodologies by introducing AI capabilities as a central element of criminal justice frameworks. The approach presented here not only extends theoretical understandings but also offers practical implications for law enforcement agencies facing advanced crime threats, thereby contributing to safer communities.
References
Brătianu, C. (2025). The challenge of artificial knowledge on knowledge management systems. In P. Gazzola & G. Dominici (Eds.), Technology and society: Boon or bane? (BSLAB 2025, Springer Proceedings in Business and Economics, pp. 3–18). Springer. https://doi.org/10.1007/978-3-032-07163-7_1
Brătianu, C., & Bejinaru, R. (2019). The theory of knowledge fields: A thermodynamics approach. Systems, 7(2), 20. https://doi.org/10.3390/systems7020020
Brătianu, C., & Bejinaru, R. (2020). Knowledge dynamics: A thermodynamics approach. Kybernetes, 49(1), 6–21. https://doi.org/10.1108/K-02-2019-0122
Brătianu, C., & Bejinaru, R. (2025). Integrating artificial intelligence and artificial knowledge in the knowledge management systems. Proceedings of the 19th International Conference on Business Excellence 2025 (PICBE), 3171–3179. https://doi.org/10.2478/picbe-2025-0242
Brătianu, C., & Ioan, A. (2025). Challenges of artificial intelligence for knowledge management systems: A bibliometric analysis perspective. Oradea Journal of Business and Economics, 10(1), 108–120. https://doi.org/10.47535/1991ojbe183
European Commission—High-Level Expert Group on AI. (2019). Ethics guidelines for trustworthy AI. Publications Office. https://doi.org/10.2759/346720
European Commission—Publications Office. (2025). AI and policing—Main report landing page. https://www.europol.europa.eu/publication-events/main-reports/ai-and-policing
European Parliament & Council. (2024). Regulation (EU) 2024/1689—Artificial Intelligence Act. Official Journal of the European Union. https://data.europa.eu/eli/reg/2024/1689/oj
Eurojust & eu-LISA. (2022). Artificial intelligence supporting cross-border cooperation in criminal justice. https://www.eurojust.europa.eu/sites/default/files/assets/artificial-intelligence-cross-border-cooperation-criminal-justice-report.pdf
Europol Innovation Lab. (2024). AI and policing: The benefits and challenges of artificial intelligence for law enforcement. https://www.europol.europa.eu/cms/sites/default/files/documents/AI-and-policing.pdf
Griffiths, K., Birdi, K., Alsina, V., Andrei, D., Baban, A., Bayerl, P. S., … Vonas, G. (2016). Knowledge sharing practices and issues in policing contexts: A systematic review of the literature. European Journal of Policing Studies, 3(3), 267–291. Open-access VoR. https://shura.shu.ac.uk/13586/
Hagemann, V., Kluge, A., & Zohren, S. (2023). Human–AI teams: Challenges for a team-centered AI at work. Frontiers in Artificial Intelligence, 6, 1252897. https://doi.org/10.3389/frai.2023.1252897
Hermosilla, P., Díaz, M., Berríos, S., & Allende-Cid, H. (2025). Use of explainable artificial intelligence for analyzing and explaining intrusion detection systems. Computers, 14(5), 160. https://www.mdpi.com/2073-431X/14/5/160
INTERPOL & UNICRI. (2023). Toolkit for responsible AI innovation in law enforcement. https://www.interpol.int/en/How-we-work/Innovation/Artificial-Intelligence-Toolkit
INTERPOL/UNICRI. (2025). Introduction to responsible AI innovation (companion resource). https://unicri.org/sites/default/files/2025-03/Intro_Resp_AI_Innovation_Mar25.pdf
Iyengar, S. S., et al. (2024). Advancing forensic science: AI and knowledge graphs unlock new insights. Journal of Forensic Research, 15(3), 615. https://doi.org/10.37421/2157-7145.2024.15.615
Nakash, M., & Bolisani, E. (2024). Knowledge management meets artificial intelligence: A systematic review and future research agenda. In Proceedings of the 25th European Conference on Knowledge Management (pp. 544–552). Academic Conferences International. https://doi.org/10.34190/eckm.25.1.2443
National Institute of Standards and Technology (NIST). (2023). Artificial Intelligence Risk Management Framework (AI RMF 1.0). https://doi.org/10.6028/NIST.AI.100-1
OSCE. (2017). Guidebook on intelligence-led policing. https://www.osce.org/files/f/documents/d/3/327476.pdf
Pendleton, M. R., Chavez, T. D., Jr., & Bueerman, J. (2001). Knowledge management in policing. U.S. DOJ, COPS Office. Open-access PDF. https://sandbox:/mnt/data/GOVPUB-J36-PURL-gpo8361.pdf
Rigano, C. (2019). Using artificial intelligence to address criminal justice needs. NIJ Journal, 280. National Institute of Justice. https://nij.ojp.gov/topics/articles/using-artificial-intelligence-address-criminal-justice-needs
U.S. Department of Justice. (2024). Artificial intelligence and criminal justice: Final report (pursuant to Executive Order 14110). https://sandbox:/mnt/data/AI EO Report (2024.12.03) - final.pdf
UN Department of Peace Operations (UN DPO). (2025). Manual on intelligence-led policing (2025.14). https://resourcehub01.blob.core.windows.net/%24web/Policy%20and%20Guidance/corepeacekeepingguidance/Thematic%20Operational%20Activities/Police%20and%20Law%20Enforcement/2025.14%20Manual%20on%20Intelligence-Led%20Policing.pdf
United Nations Peacekeeping Resource Hub. (2025). Policy and guidance: UN police—Manuals and guidance (index). https://peacekeepingresourcehub.un.org/en/policy
Wang, H., Guo, Z., & Chen, H. (2022). Human-in-the-loop machine learning: A macro–micro perspective. arXiv preprint arXiv:2202.10564. https://arxiv.org/abs/2202.10564
Wu, T., Lin, C., Zhang, W., & Yu, P. S. (2022). A survey of human-in-the-loop for machine learning. arXiv preprint arXiv:2108.00941 (v3, 2022). https://arxiv.org/abs/2108.00941
