International Journal of Cybersecurity Intelligence & Cybercrime Review
The article discusses the intersection of artificial intelligence (AI) and cybercrime,
focusing on how these issues relate to social sciences. The principles of social sciences, such as
understanding human behavior and societal impacts, are vital here. The rise of AI tools like
ChatGPT has created new risks and opportunities in our digital lives, affecting how people
interact with technology and each other. The study centers on three main research questions:
First, how is information about the harmful use of AI shared on both the dark web and the clear
web? Second, what role does the media play in spreading AI-related cybercrime? Third, how can
individuals improve their online safety to reduce risks from AI threats?
These questions aim to explore the various ways AI can be misused and how society can
respond. To answer these questions, the researchers used both quantitative and qualitative
methods. For the quantitative part, they collected 102 examples of AI prompts that had malicious
uses from online forums. They looked at different types of AI tools used for harmful activities,
such as creating malware and phishing schemes. On the qualitative side, they conducted
interviews with six experts in cybercrime and cybersecurity. These interviews provided deeper
insights into the risks of AI and how individuals can protect themselves. The data analysis
revealed various themes, particularly how online lifestyles and media narratives shape people’s
understanding of AI. For example, many people worry about job loss due to AI, while less
attention is paid to security risks. Experts highlighted that the media often focuses on the benefits of AI but overlooks its ethical implications and potential for misuse. This lack of awareness can
make people more vulnerable to cyber threats. The article also connects to larger themes
discussed in class, such as the need for better cybersecurity and the importance of understanding
how technology impacts society. Those without access to technology or education are often at
greater risk of becoming victims of cybercrime. The study calls for more education on online
safety to help protect these vulnerable populations and that is how it overall contributes to
society.
Overall, the research contributes significantly to our understanding of AI and cybercrime.
It highlights the importance of digital literacy and responsible AI use. By increasing awareness
and promoting better cybersecurity practices, society can better prepare for the challenges posed
by AI. When all put together this article easily answers the points of how it relates to social
science, the types of research methods used and the overall contributions to society. The findings
encourage everyone to take active steps to protect themselves in an increasingly digital world.

Article Review #2

Into The Unknown: The Need to Reframe Risk Analysis

Introduction
The article discusses how cyber risk is analyzed and the challenges of quantifying risks in
the digital world. It explores how various organizations, including governments, banks, and
small businesses, try to measure cyber threats and their impacts. The main focus is on the limits
of measuring risks in cybersecurity and why uncertainty plays a big role in understanding these
threats. The topic relates to social science principles because the article is connected to the
social sciences because it looks at how different people and organizations manage risk and
uncertainty. It also discusses the problems of measuring things like cyber attacks and their costs.
In social sciences, we often study how individuals and groups make decisions, and this article
fits into that by exploring how decisions are made about cybersecurity, even when the risks are
hard to predict.
The article’s main question is about how to properly understand and measure cyber
risks. It asks if we can we really quantify cyber risk in a way that helps organizations make better
decisions. It also wonders if trying to do so is helpful or if it makes things more confusing. The
authors seem to think that we should be careful about assuming we can know everything about
cyber threats, especially when there is so much uncertainty. The article does not focus on a
single study but instead looks at existing research on cyber risk analysis. It uses examples from
economics, safety, and healthcare to show how other fields deal with uncertainty and risk. The
authors don’t use specific experiments or surveys but instead discuss the ideas and methods that have been used to analyze these risks. Since the article is more about theory than a particular
study, it doesn’t provide raw data or results from experiments. However, it analyzes different
models of cyber risk and points out the strengths and weaknesses of trying to quantify these
risks. It discusses how other fields, like economics, try to predict risk and what lessons can be
applied to cybersecurity. The article links to several key ideas from social science, such as the
difference between known and unknown risks. In class, we have talked about how people make
decisions in situations of uncertainty. We have also talked about the importance of economic
factors in recent modules.The article shows that while organizations may try to model risks, there
are limits to what we can predict about cyber attacks. This fits with what we’ve learned about
decision-making under uncertainty in the social sciences and ties into the modules we have learnt
in class. The article doesn’t directly talk about marginalized groups, but its message about
uncertainty and risk can apply to everyone. Small businesses and individuals are often at a
disadvantage when dealing with cyber risks because they don’t have the same resources as large
organizations or governments. The article suggests that these smaller groups might struggle more
with predicting and preventing cyber attacks, highlighting a gap in resources and knowledge.
This article helps society by encouraging a more cautious approach to cybersecurity. It calls for
more careful thinking about how we measure risks and the limits of these measurements. By
recognizing uncertainty, we can make better decisions in cybersecurity, especially in situations
where risks are high, but data is limited. It also encourages more research into understanding
how different types of uncertainty affect our decisions.
Conclusion
In conclusion, this article teaches us that while it is important to model and try to quantify cyber
risk, we must also be aware of the uncertainty that comes with these models. It reminds us to be careful when using data and to consider the limits of our understanding. This article was a good
one to pick because it reminded myself of the importance of what we learn during class. The
modules and presentations reconcile well with this article. Also, this approach can help us make
better decisions about cybersecurity, especially in an uncertain world.