THE ROLE OF HUMAN INTELLIGENCE IN THE AGE OF DIGITAL TECHNOLOGY Cover Image

THE ROLE OF HUMAN INTELLIGENCE IN THE AGE OF DIGITAL TECHNOLOGY
THE ROLE OF HUMAN INTELLIGENCE IN THE AGE OF DIGITAL TECHNOLOGY

Author(s): Domenico FRASCÀ, Giulia VENTURI, Maria USTENKO, Alessandro ZANASI, Andrew STANIFORTH, David FORTUNE
Subject(s): Politics / Political Sciences, Security and defense
Published by: National Institute for Intelligence Studies
Keywords: HUMINT; Intelligence; Intelligence Cycle; Security; Technology;

Summary/Abstract: This paper focuses on the role and perspectives of Human Intelligence in the digital era. It explores technological advancements that can be harnessed by Intelligence and Security practitioners in the fields of HUMINT and its associated support activities. The paper considers various technologies, including tools for decision support, deception and information detection, and strategies for mitigating cognitive biases and other limiting factors. The analysis concerns technologies, tools and techniques used in all phases of the Intelligence Cycle, evaluating their utility considering the current challenges posed by them for Intelligence Communities and Law Enforcement Agencies. Recent developments in technologies which support other Intelligence disciplines such as SIGINT, IMINT and OSINT have potentially diminished the standing and priority of HUMINT within the Intelligence Cycle. Moreover, psychology has a crucial role in comprehending HUMINT, as human minds have their imperfections, and psychological processes like cognitive biases can result in unanticipated mistakes and unintentional outcomes within the field of Intelligence. Still, HUMINT sources continue to play a fundamental role in Intelligence Collection, analysis, and interpretation, due to their ability to recall, recognise, contextualise, and establish connections between different information. HUMINT continues to be a vital element, providing a human touch and insights that can be difficult to reproduce solely through technological methods.

  • Issue Year: 2024
  • Issue No: 1(31)
  • Page Range: 5-24
  • Page Count: 20
  • Language: English
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