Risks and Ethical Concerns in Cyber Security with Advancements of Artificial Intelligence - A Systematic Review
Angelique Perez, Saira Anwar · 2024
Contribution: This study offers an analysis of cybersecurity for continuing advancements in artificial intelligence (AI). Specifically, we synthesized the literature and highlighted the possible cybersecurity risks and ethical concerns associated with advancements in AI. Background: Recent advancements in AI have implicated various risks and ethical concerns regarding cybersecurity. Prior literature studies have highlighted a plethora of these issues. We have conducted a systematic review to analyze the issues presented in the prior literature. Analyzing the issues presented has allowed us to answer one research question. Research Question: Our study answered one research question: Given the continuous advancements in artificial intelligence, what are cybersecurity's potential risks and ethical concerns? Methodology: We utilized the IEEE Xplore database to answer the research question. After setting the search criteria to journal articles posted between 2019 and 2024, we found 67 articles relevant to our keywords. After screening, we finalized 16 articles to address our research question. The articles selected were analyzed using qualitative thematic analysis. Articles were then categorized into three different themes: (1) social engineering, (2) misinformation and fake news, and (3) hacking. Findings: Our findings indicate that researchers have informed us about the malicious use of AI in cybersecurity by classifying attacks into three themes. These themes indicate the manner of attack. Furthermore, we find that the major risks and ethical concerns regarding the application of AI in cybersecurity relate to the preservation of privacy. As the field of artificial intelligence continues to grow, we see that it is imperative to continue monitoring the safety of this technology. For researchers to serve the public, future work should aim to translate technical terminology into more digestible phrases for those not knowledgeable in the field.