Article Link: https://vc.bridgew.edu/ijcic/vol7/iss2/1/

Introduction

Cybercrime is growing. Criminals are using artificial intelligence (AI) to carry out attacks. AI can help them create fake videos. It can also help them hack into systems. The article “Understanding the Use of Artificial Intelligence in Cybercrime” by Sinyong Choi Thomas Dearden and Katalin Parti explains how criminals use AI. This review looks at the study’s research questions methods data and how it connects to social science. It also examines its impact on marginalized groups and its contribution to society.

Relation to Social Science Principles

This study relates to social science. It examines human behavior and technology. Cybercriminals use AI to manipulate people. They use it to trick users into sharing sensitive information. AI-powered scams make phishing more dangerous. Social science studies human interactions with technology. This article shows how AI changes these interactions. It explains how people become victims of AI-based crimes.

Research Questions and Hypotheses

The study asks how cybercriminals use AI to improve attacks. It explores whether AI increases the success rate of cybercrime. The authors believe AI helps cybercriminals work faster. AI can also help them target victims better. The study looks at different ways AI is used in cybercrime. It focuses on deepfake videos phishing and automated hacking.

Research Methods

The authors use a qualitative research method. They review previous studies on AI and cybercrime. They analyze cases where AI helped criminals. The study examines reports from cybersecurity experts. It also looks at law enforcement data. This method helps them understand AI’s role in cybercrime.

Data and Analysis

The article collects data from different sources. It includes cybersecurity reports and case studies. The authors organize data into different AI crime types. They study how AI is used in phishing and identity theft. They find that AI makes cybercrimes more dangerous. AI helps criminals bypass security systems. It also helps them create fake messages and voices. The study shows that AI-powered scams are harder to detect.

Connection to Course Concepts

The study connects to key cybersecurity concepts. It discusses AI threats and ethical concerns. AI can be used for good or bad. This is a topic covered in class. The article also relates to social engineering. AI-powered scams trick people into sharing data. It connects to discussions about online privacy and digital security.

Impact on Marginalized Groups

AI cybercrime affects marginalized groups the most. People with little tech knowledge are easy targets. Scammers use AI to trick older adults and low-income users. Deepfake scams can harm people’s reputations and lead to financial loss. Many victims lack the resources to recover. The study suggests better education and awareness, which can help protect vulnerable groups.

Contributions to Society

The article helps us understand AI in cybercrime. It warns about new threats. It encourages better cybersecurity policies. AI-powered crimes will keep growing. The study helps researchers and law enforcement. It shows where to focus security efforts. It also calls for ethical AI use. Understanding these risks can help build a safer digital world.

Conclusion

Cybercriminals are using AI. The study explains how AI makes cybercrime worse. It connects to social science and cybersecurity. It highlights the risks for marginalized groups. It also calls for better cybersecurity strategies. This article is important for understanding modern cybercrime. It shows why AI security is necessary.

References

Choi, S., Dearden, T., & Katalin Parti. (2024). Understanding the Use of Artificial Intelligence in Cybercrime. International Journal of Cybersecurity Intelligence and Cybercrime, 7(2). https://doi.org/10.52306/2578-3289.1185