Christian Arevalo
Professor Yalpi
CYSE201s
14 February 2024
Article Review #1 Digital Criminal Investigations in the Era of Artificial Intelligence: A Comprehensive Overview
Introduction
This article begins with an abstract explaining the research on artificial intelligence in criminal investigations. The introduction explains criminal investigations so the reader can better understand what the author is trying to get through to them. After that, the article begins to explain its research and data analysis process. They label the types of methods used and describe the data they found. They have an entire section dedicated to their findings. In the end, they give a conclusion that restates the hypothesis and states the most important facts and findings. The rest of the article is a long list of sources the author researched to make this paper.
Analysis
The article relates to empiricism by using multiple sources of data to calculate their results (Faqir, 2023). The article uses the principal variability by using data such as primary data comprising a variety of primary legal documents, including foundational legal codes, legislative opinions, and a spectrum of technical and scientific resources pertinent to criminal procedural laws, regulations, rules, and associated documentation (Faqir, 2023). The last principle, verifiability, is used because their sources of data are for public use (Faqir, 2023).
The hypothesis of this article is to find the purpose AI can serve in cybercrime investigations (Faqir, 2023). The author uses multiple methods of research to figure out which ways AI can help with the most efficiency (Faqir, 2023). These methods include analyzing data, suspect identification, digital evidence, and complexity of data.
The researchers in the article used a method called “Pattern Recognition Technology” (Faqir, 2023). This method of research gives artificial intelligence a set of pictures that resemble tracks of crime, this allows for the AI to learn what to look for in other pictures. Another method of research used is the “Neural Network Technology” (Faqir, 2023). This method of research is much like the human thought process when dealing with new information.
They gave the AI data from different sets of documents and analyzed what similarities and differences the AI analyzed (Faqir, 2023). The methods of pattern recognition technology and neural network technology are implemented into the AI, and after a few runs, researchers analyze the difference in results between the two methods (Faqir, 2023).
Maslow’s hierarchy of needs of safety is related to this article because AI will be able to analyze the data of attackers at such speeds that will ensure that people won’t feel stressed about not being able to get their data back (Faqir, 2023). This research will reduce the motive of revenge because investigators will figure out culprits easily if someone is known to have a motive to attack (Faqir, 2023). Recognition will also be useless because hackers’ information will be kept in an AI system and will be recognized easily if they commit other cybercrimes (Faqir, 2023). Hackers cannot deny responsibility because AI recognition will ensure that investigators have the right person (Faqir, 2023).
This research helps senior citizens too gullible to some of the hackers’ tricks (Faqir, 2023). People with lower social status are helped because it lowers their chance of falling into debt after an attack (Faqir, 2023). Groups such as the LQBTQ+ and people of color that are more likely to be targeted now have a lower chance of being attacked because AI can track down an attacker by analyzing where, when, and how the attack is going to happen (Faqir, 2023).
This research can change how cybersecurity systems are made because AI pattern recognition will be implemented into programs and will permanently improve cybersecurity (Faqir, 2023). People will feel safer about security options if AI defenses are to be implemented into more systems (Faqir, 2023).
Works Cited
Faqir, R. (2023). Digital Criminal Investigations in the Era of Artificial Intelligence: A Comprehensive Overview. International Journal of Cyber Criminology. https://cybercrimejournal.com/menuscript/index.php/cybercrimejournal/article/view/189/71