“Understanding the Use of Artificial Intelligence in Cybercrime”
Introduction
In the article “Understanding the Use of Artificial Intelligence in Cybercrime” by Sinyong Choi, Thomas Dearden and Katalin Parti, it explores the effect of artificial intelligence (AI) on cybercrime, victimization and methods of prevention. This review intends to analyze the ways in which this article relates to the principles of social sciences, explore the research methods used, the data and analysis, as well as its challenges, concerns and contributions to both marginalized groups and society. Published as a special issue in the International Journal of Cybersecurity Intelligence and Cybercrime in 2024, this article provides an important perspective to the field.
Principles of Social Sciences
The article makes use of the principles of social science such as empiricism, ethical neutrality and relativism to explore the role AI now plays in cybercrime. It illustrates how the different studies use data-driven and case study evidence to support their claims (empiricism). It makes an unbiased examination of the studies and the part that AI plays in cybercrime in accordance with ethical standards (ethical neutrality). The article also makes note of how the use of AI in cybercrime is context-dependent using the advancement of technology like ‘deepfakes’(relativity).
Research Questions and Hypothesis
The research question that this article explores is ‘How is artificial intelligence being used in cybercrime and what are the potential implications for cybersecurity, victimization and prevention?’. In addition to this, the article explores three studies which each have their own hypothesis and research questions.
Research Methods
The different studies in this article uses different methods of research. For example, in Study 1, a case study analysis or archival research method was used to investigate the cybersecurity challenges in the healthcare sector (Choi et al., 2024). Study 2 uses a multi-method research approach including both qualitative and quantitative analysis and expert interviews (Choi et al., 2024). Lastly Study 3, uses an experimental method of research by using the Integrated Model of Cybercrime Dynamics (IMCD) (Choi et al., 2024).
Data and Analysis
The way in which the data and analysis is presented in this article is by using an analytical approach to each study it examines. Specifically, it points out the intent of each study, the methods used for research and the results in a summarized and objective way.
Relation to concepts in PowerPoint Presentations
This article relates to the class PowerPoint presentation concepts by its use of the principles of social sciences, the different research method strategies through social sciences and the discussion of the human element of the cybercrime both as the perpetrator and the victim.
Challenges and Contributions
Contributions that this article provides includes theoretical advancements like the introduction of new frameworks like Digital Capable Guardianship and Online Lifestyle Awareness or the Integrated Model of Cybercrime Dynamics (Choi et al., 2024). It also brings attention to the growing problem of AI-related cybercrime and ways in which we can prevent it like using a multidisciplinary approach and different technological solutions (Choi et al., 2024). Concerns raised by this article related to marginalized groups include the specific targeting of deepfakes to certain demographics. Another issue raised was the lack of research of AI and the part it plays in the development of cybercrime.
Conclusion
In conclusion, the article gives a comprehensive view of the change that AI brings to the world of cybercrime. With its use of different type of studies, it offers multiple ways of researching the problems of AI and cybercrime as well as methods of prevention and mitigation. By incorporating social science principles, research methods and an objective analytical perspective, this article not only raises our understanding of AI in cybercrime but the awareness of it in society.
Reference
Choi, S., Dearden, T., & Parti, K. (2024). Understanding the use of artificial intelligence in Cybercrime. International Journal of Cybersecurity Intelligence & Cybercrime, 7(2). https://doi.org/10.52306/2578-3289.1185