Robotic systems implementation into law enforcement practice and peculiarities of decision-making models in such systems
This academic paper examines the implementation of artificial intelligence and robotic systems into law enforcement practice, focusing on decision-making models, safety, reliability, and legality. It proposes a production model for security robots incorporating basic parameters, standard scenarios, production rules, prohibitions, and restrictions. Additionally, it highlights the necessity of a unified, certified knowledge base created through manufacturer cooperation and expert oversight to govern autonomous security equipment.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Researchers, developers, and public security officials interested in the integration and governance of autonomous security robots in law enforcement.
What the document contains
The paper covers proposed directions for using AI and robotic systems in law enforcement, formal decision-making production models for security robots, and the creation of a unified knowledge base and hierarchical prohibitions to ensure safe and lawful autonomous operations.
The document does not provide binding legal regulations, specific technical software code, or finalized operational deployment guidelines.
- Artificial intelligence and robotic systems offer significant potential to improve law enforcement efficiency and protect personnel.
- Security robots require specialized decision-making models operating under conditions of uncertainty and complex human behavior.
- A production-rule-based model formalizes factors, scenarios, rules, prohibitions, and service assignments for autonomous systems.
- Manufacturers and developers must cooperate to build a unified, certified knowledge base to resolve rule conflicts and ensure lawful operation.
- Prohibitions and restrictions must be hierarchically structured and established by an interdepartmental commission prior to industrial use.
· Introduction · The main directions of artificial intelligence technologies use to protect and maintain order · Decision making production model in control systems of security robotic equipment · Unified knowledge base of manufacturers and developers of security robotic equipment · Conclusion
How it scores
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Privacy
0/5Protection of personal data and private life
screening score · 2026-10-24