Alexander Bascope
2/17/2024
Article Review #1 Investigating AI and Cybercrime from a Sociological Angle
Introduction
Cybercrime and artificial intelligence (AI) have connections to a number of social science concepts, such as criminology, sociology, and psychology. Analyzing human behavior, societal structures, and criminal motivations in the context of technological breakthroughs is necessary to understand how criminals use AI technology.
Research questions or hypothesis
The study tries to answer the following research questions:
- How do criminals use artificial intelligence (AI), particularly deepfakes and social engineering, to commit cybercrimes?
- What drives and traits do people who commit AI-related cybercrimes have in common?
- How can safeguards be created to lessen the dangers connected to cybercrimes powered by AI?
Research Methods Used
The investigators used qualitative research techniques, such as topic analysis and semi-structured interviews. Using these techniques, they were able to obtain information about social engineering vulnerabilities and deepfake crimes in the metaverse from policy, academic, and industry specialists.
Types of Data and Analysis
Expert evidence about deepfake crimes and vulnerability to social engineering techniques made up the data set. A solid understanding of the traits of offenders and target vulnerabilities was obtained by applying thematic analysis to find recurring themes and patterns in the data.
Connection to Ideas in PowerPoint Presentations
The Big Five Personality Traits model and the routine activities theory, two ideas covered in the PowerPoint presentations, have a direct bearing on the research for this article. In the context of AI-driven cybercrimes, these theoretical frameworks explained target vulnerabilities and perpetrator traits.
Connection to Excluded Groups
The subject of AI-driven cybercrime is intertwined with excluded groups’ problems worries, and contributions because these groups may be disproportionately impacted by cybervictimization. Youth and people with high-risk personality traits are examples of vulnerable demographics that may be more likely to be exploited and victimized online.
Overall Contributions to Society
The research benefits society by increasing our knowledge of new trends in cybercrime and provides insightful information for creating countermeasures. Policymakers and criminal justice professionals can create stronger plans to fight AI-driven cybercrimes and shield people from harm by recognizing offender patterns and target vulnerabilities.
Conclusion
This article offers a thorough analysis of the ways in which cybercriminals use AI technology to commit cybercrimes, providing insights into the motivations of the offenders, target weaknesses, and countermeasures. The research adds to the improvement of criminological studies and informs policy interventions to meet the changing cybercrime scenario by bridging the gap between technology and social sciences.
Reference
Parti, K. , Dearden, T. & Choi, S. (2023). Understanding the Use of Artificial Intelligence in Cybercrime. International Journal of Cybersecurity Intelligence & Cybercrime: 6(2), . DOI: https://doi.org/10.52306/2578-3289.1170