The Application of Artificial Intelligence in Intelligence: A Comparison of U.S. Practices and Legal Constraints in the EU
Abstract
Purpose. Identify structural differences between the practice of integrating artificial intelligence into U.S. intelligence activities and the regulatory-legal model of the European Union and assess their impact on the effectiveness of the intelligence cycle.
Method. System analysis, comparative analysis.
Findings. The evolution of artificial intelligence integration into U.S. intelligence activities, as well as the corresponding legal and ethical norms of the EU, has been analyzed. The main areas of its impact on the intelligence cycle have been identified, and the legal, ethical, and technical limitations of AI use have been systematized. It has been demonstrated that claims of a full-scale AI revolution in intelligence are premature.
Theoretical implications. The results can be used for further research in the field of cognitive and information security technologies, as well as for the development of decision-making theory in intelligence activities.
Value. The materials of the article may be useful for security and defense sector professionals when assessing the opportunities and risks of implementing artificial intelligence technologies.
Future research. It is advisable to focus on the development of legal norms regulating the use of artificial intelligence in intelligence agencies and methods for reducing cognitive biases in human-machine systems.
Papertype. Analytical.
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