Artificial Intelligence in Modern Policing – Exploring the Multifaceted Impacts
  • Metaadatok
Tartalom: http://hdl.handle.net/20.500.12944/24948
Archívum: Közszolgálati Tudásportál
Gyűjtemény: Konferencia anyagok
NKE kiadványok
Ludovika International Law Enforcement Research Symposium
Cím:
Artificial Intelligence in Modern Policing – Exploring the Multifaceted Impacts
Létrehozó:
Alexandru Ioan
Kiadó:
Magyar Rendészettudományi Társaság
Budapest
Téma:
artificial intelligence
modern policing
predictive
investigations
digital forensics
facial recognition
law enforcement
Társadalomtudományok
Társadalomtudományok/Rendészet tudományok
Tartalmi leírás:
This article comprehensively examines the multifaceted impact of artificial intelligence (AI) on modern law enforcement, considering stakeholders, societal implications, and results analysis. In an era of rapid AI advancement, law enforcement increasingly leverages AI for enhanced operational efficiency, public safety, and addressing challenges. The paper begins with predictive policing, using machine learning to analyze historical crime data and predict hotspots, exploring its impact on stakeholders and societal implications. The role of AI in investigative processes, particularly facial recognition aiding suspect identification and forensics, is assessed with attention to privacy, accuracy, and transparency. AI's role in digital forensics and cybercrime detection is discussed, emphasizing stakeholder involvement, ethical concerns, and the balance between privacy and security. Integration of AI in police operations and resource management is examined, focusing on AI-driven decision-making, optimized patrols, resource allocation, and emergency responses.
Típus:
info:eu-repo/semantics/other
Formátum:
application/pdf
Azonosító:
nke:34832215
nke:II. Ludovika International Law Enforcement Research Symposium Conference Proceedings
Kapcsolat:
Létrehozó:
info:eu-repo/semantics/openAccess