Article Review #1
Does AI Aid or Harm Cybercrime Investigations?


In the article “Digital Criminal Investigations in the Era of Artificial Intelligence: A
Comprehensive Overview” written by Raed Faqir, the author discusses the motivations
behind utilizing Artificial Intelligence within the prosecution and data gathering involving
cybercrime and digital forensics. They also discuss the role that AI has within the legal
system, and its most efficient use.
The authors research methods included primary and secondary sources of
information, and a “qualitative research methodology” (Faqir 2023). Encompassing a
wide array of authors and sources, the article first introduces the topics of their literature
review. The topics under review are, “artificial intelligence for digital investigation,
pattern recognition technology, the use of neural network technology, medical uses, and
psychological techniques” (Faqir 2023). This massive dataset helps the author to make
informed opinions and present an academic understanding to the reader.
Bringing together these areas of study, the author identifies that there are two
problems surrounding using AI within the field. The first issue being that cybercrime is
becoming more impactful to businesses and organizations, while also being more
common. This leads to massive datasets that must be recorded, stored, and analyzed.
This in turn can lower the overall reliability of information, as well as prolong decisions.
Secondly, these massive datasets create technical issues involved with parsing,
deciphering, and managing how to process this large-scale amount of data. Advanced
technical methods must be employed to ensure that the data can be technically
reviewed, as well as maintain its integrity. Other risks associated with implementing AI
in digital forensics are data legitimacy and ensuring personal privacy of those involved.
The author then discusses the AI models that are being deployed to aid in digital
forensics and their uses. AI is being used in the decision-making sectors, to reduce
human components. Language models are being used to parse relevant information
from text. Image models are being used to identify objects, faces, images and their
relevant contexts. Expert system models and Automated Robot models are being used
to alleviate workloads and assist humans in their executive duties.
Conclusion
The author poses the risks and rewards associated with using AI in digital
forensics and cybercrime, but highlights that there are many more rewards than there
are risks. With the growing amount of cybercrimes and their growing impacts, AI
facilitates a more efficient forensic environment. While AI should not be used to replace
the human component, it should be used in conjunction with humans. This adds another
tool to the toolset, and with it humans are better equipped to combat cyberrime.

Citations
Faqir, R. S. A. (2023). Digital Criminal Investigations in the Era of Artificial Intelligence:
A Comprehensive Overview. International Journal of Cyber Criminology, 17(2),
77–94. https://doi.org/10.5281

Article Review #2
Iraq’s Gender Targeting Cyberbullying


The article “Discrimination and Cyberbullying against Women in Iraq: Exploring
Social Media and Perceived Norms” brings to light an enormous issue that is happening
against women in Iraq. Marginalized groups of women, those who are impoverished and
illiterate, are being targeted in cyberbullying campaigns, with little to no legal
protections.
The article addresses 3 main themes: Prevalence of discrimination against
women in Iraq, social media’s impact on cyberbullying, and the organizations working
against those discriminations. Within the first theme of prevalence, the authors found
that discriminations against women are common in both lower income nations as well
as developed nations. Out of the nine respondents to their work, eight were found to
have experienced discrimination in the past, an astounding percentage. Five of the
studies’ respondents admit that Iraq’s legal system is favorable to men, and that societal
pressures have prevented them from fighting back against those discriminations.
The increases in use of social media for women in Iraq has also increased the
amount of cyberbullying that those users face. The authors advocate that Iraq’s “lack of
an effective legislative framework” (Ali et al. 2023) also plays a role in how common
cyberbullying against women has become. Without the laws to protect against
cyberbullying, women are targeted with near impunity. One respondent stated that they
were blackmailed so terribly they were forced to delete all of their social media
accounts.
The authors’ last theme is the organizations taking steps to stop the
cyberbullying, and what measures can be taken to aid in prevention or reduction of
these discriminations. The answer to the first half of that theme is that there are not any
organizations in Iraq effectively working to stop cyberbullying. However, the
respondents suggest that the way to stop these crimes is twofold: developing laws and
regulations against cyberbullying, and increasing security and awareness training.
Conclusion
While the current situation in Iraq offers little to no protection for women against
cyberbullying, this article highlights the need for intervention. Groups of women are
being attacked, specifically marginalized ones, at an increasing rate. Cyberbullying is an
intense, hateful crime that requires lawful protection. The situation in Iraq is just one of
the many nations where attacks like this are occurring. However, if we work towards
some of the solutions that the authors and respondents suggest, we might be able to
combat these crimes.

Citation
Ali, S. H., Alkhafagy, T., Alkhafaji, M., Alseidi, M. A., Aleiwi, J. J., Farhan, A. F., Jalil, S.
H., Al-Maeeni, M. K. A., & Salman, S. D. (2023). Discrimination and
Cyberbullying against Women in Iraq: Exploring Social Media and Perceived
Norms. International Journal of Cyber Criminology, 17(2), 95–111. DOI
10.5281/zenodo.4766707.
https://cybercrimejournal.com/menuscript/index.php/cybercrimejournal/article/vie
w/190/72