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Online Fraud in the Age of Artificial Intelligence: A Behavioral Economics Perspective Cover

Online Fraud in the Age of Artificial Intelligence: A Behavioral Economics Perspective

Open Access
|Jul 2026

References

  1. Alali, A., & Theodorakopoulos, G. (2025). Partial Fake Speech Attacks in the Real World Using Deepfake Audio. Journal of Cybersecurity and Privacy, 5, 1–17.
  2. Alon-Barkat, S., & Busuioc, M. (2023). Human–AI Interactions in Public Sector Decision Making: “Automation Bias” and “Selective Adherence” to Algorithmic Advice. Journal of Public Administration Research and Theory, 33(1), 153–169.
  3. Carpio Chiriboga, R. E., Hernandez Diaz, S. M. M., Peñaherrera Larenas, M. F., & Guerrero Calero, J. M. (2025). Integration of Artificial Intelligence and Behavioral Economics: Optimizing Consumer Processes and Decisions in Complex Environments. Journal of Information Systems Engineering and Management, 10(395).
  4. Carter, W. (2025). The economic impact of online fraud: A review. Preprints.org. https://doi.org/10.20944/preprints202507.0436.v1
  5. Deloitte. (2025). Now decides next: Generating a new future. Deloitte’s State of Generative AI in the Enterprise. Deloitte AI Institute.
  6. Dzomira, S. (2014). Electronic fraud (cyber fraud) risk in the banking industry, Zimbabwe. Risk Governance & Control: Financial Markets & Institutions, 4(2), 16–25.
  7. Europol. (2024). Internet Organised Crime Threat Assessment (IOCTA) 2024. Publications Office of the European Union.
  8. Federal Bureau of Investigation. (2024). Internet Crime Report 2024. Internet Crime Complaint Center.
  9. Financial Industry Regulatory Authority (FINRA). (2025). 2026 FINRA annual regulatory oversight report.
  10. Financial Stability Institute (FSI). (2023). Digital fraud – Executive summary. Bank for International Settlements.
  11. Hancock, J. T., Naaman, M., & Levy, K. (2020). AI-Mediated Communication: Definition, Research Agenda, and Ethical Considerations. Journal of Computer-Mediated Communication, 25(1), 89–100.
  12. Heiding, F., Schneier, B., Vishwanath, A., & Bernstein, J. (s.a.). Devising and detecting phishing: Large language models vs. smaller human models. Harvard John A. Paulson School of Engineering and Applied Sciences.
  13. Jabir, R., Le, J., & Nguyen, C. (2024). Phishing Attacks in the Age of Generative Artificial Intelligence: A Systematic Review of Human Factors. AI, 5, 1–32.
  14. Kurshan, E., Mehta, D., Balch, T., & Byrd, D. (s.a.). AI-driven fraud, financial and cybercrime: Emerging threats and the evolving landscape of AI versus AI. International Journal of Semantic Computing.
  15. Larsson, C., & Malm Wiklund, O. (2023). Examining Bounded Rationality Influences on Decisions Concerning Information Security [Bachelor’s thesis, Stockholm Business School]. Stockholm University.
  16. Logg, J. M., Minson, J. A., & Moore, D. A. (2019). Algorithm Appreciation: People Prefer Algorithmic To Human Judgment. Organizational Behavior and Human Decision Processes, 151, 90-113.
  17. Mai, K. T., Bray, S., Davies, T., & Griffin, L. D. (2023). Warning: Humans cannot reliably detect speech deepfakes. PLOS ONE, 18(8), e0285333.
  18. McAfee. (2023). Beware the Artificial Impostor: A McAfee Cybersecurity Artificial Intelligence Report. McAfee.
  19. Nightingale, S. J., & Farid, H. (2022). AI-synthesized faces are indistinguishable from real faces and more trustworthy. Proceedings of the National Academy of Sciences (PNAS), 119(8), e2120481119. https://doi.org/10.1073/pnas.2120481119
  20. Ogunlade, O. T. (2025). Role of Artificial Intelligence in the Detection of Social Engineering Attacks. European Journal of Technology, 9(1), 86-97. https://doi.org/10.47672/ejt.2790
  21. PricewaterhouseCoopers (PwC). (2023). Impact of artificial intelligence on fraud and scams: Research in collaboration with Stop Scams UK.
  22. Shi, X., Niu, G., Yang, W., Sun, X., & Jin, S. (2025). The influence of anthropomorphism on trust in artificial intelligence: Take virtual agent as an example. International Journal of Human- Computer Studies, 205, 103644. https://doi.org/10.1016/j.ijhcs.2025.103644
  23. Stanton, B., Theofanos, M. F., Prettyman, S. S., & Furman, S. (2016). Security Fatigue. IT Professional, 18(5), 26-32. https://doi.org/10.1109/mitp.2016.84
Language: English
Page range: 4483 - 4497
Published on: Jul 22, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Cezara-Georgiana RADU, Igor-Simon DAVID, Mihai-Ciprian DORU, published by Bucharest University of Economic Studies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.