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ARTIFICIAL INTELLIGENCE TECHNOLOGIES: A NEW ERA FOR CRIME PREVENTION
- Source :
- Annals: Series on Military Sciences, Vol 16, Iss 2, Pp 115-128 (2024)
- Publication Year :
- 2024
- Publisher :
- Academy of Romanian Scientists Publishing House, 2024.
-
Abstract
- In recent decades, technological progress and the development of Artificial Intelligence (AI) have profoundly transformed the way modern societies operate, interact and ensure security. AI has become an essential tool in the field of public order, providing innovative solutions that have enabled law enforcement to accomplish their mission with increased efficiency and precision. This text explores the possible possibilities of AI in public policy, highlighting its use in crime prevention, predictive analytics, intelligent video surveillance, assisting in investigations, protecting critical infrastructure, managing emergencies and contributing to citizen engagement. Ethical and legal challenges associated with the integration of AI are also discussed, such as privacy and protection of personal data, algorithmic discrimination, impact on civil liberties, and cybersecurity vulnerabilities. The paper highlights the need for a balanced approach to the adoption of AI in public policy, which includes the development of responsible policies and regulations, ensuring transparency and accountability of authorities, as well as collaboration between policy makers, technical experts, human rights organizations and citizens, to promote . a just and secure society.
- Subjects :
- artificial intelligence
public order
crime prevention
predictive analytics
intelligent video surveillance
algorithmic discrimination
cyber security
ethics in technology
civil rights
intersectoral collaboration
protecting critical infrastructures
emergency and disaster management
Military Science
Subjects
Details
- Language :
- English
- ISSN :
- 20667086
- Volume :
- 16
- Issue :
- 2
- Database :
- Directory of Open Access Journals
- Journal :
- Annals: Series on Military Sciences
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.6868df282a294be5a9f231280829f493
- Document Type :
- article