2023
DOI: 10.60087/jklst.vol2.n2.p175
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Securing Trust: Ethical Considerations in AI for Cybersecurity

Naveen Vemuri,
Naresh Thaneeru,
Venkata Manoj Tatikonda

Abstract: The basic purpose of combining artificial intelligence with cybersecurity is to solve complex issues that emerge in the systems. This paper demonstrates a very distinct AI framework that can be embedded in cyber security, which rests upon this very basic foundation. The decisions that are made using artificial intelligence are not only transparent but are also simple to comprehend in vigorous situations of cyber security. This essay also discusses the ethical issues regarding AI, its risk, and accountability w… Show more

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Cited by 8 publications
(8 citation statements)
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“…CI focuses on consolidating various IT departments into a unified framework, while CD automates the deployment of software into production environments. CI/CD plays a pivotal role throughout the entire software development process, from building container images to precise model training [11]. Numerous tools in the market facilitate CI/CD, including Jenkins, CircleCI, TeamCity, Bamboo, and others.…”
Section: Continuous Integration (Ci) and Continuous Deployment (Cd)mentioning
confidence: 99%
“…CI focuses on consolidating various IT departments into a unified framework, while CD automates the deployment of software into production environments. CI/CD plays a pivotal role throughout the entire software development process, from building container images to precise model training [11]. Numerous tools in the market facilitate CI/CD, including Jenkins, CircleCI, TeamCity, Bamboo, and others.…”
Section: Continuous Integration (Ci) and Continuous Deployment (Cd)mentioning
confidence: 99%
“…Additionally, AI-driven solutions can be integrated with sustainable practices in agriculture, industry, and urban planning to reduce the release of heavy metals into the environment [4] . However, to fully harness the potential of AI for sustainable environmental solutions, interdisciplinary collaboration is crucial [5] . By combining expertise from environmental science and AI, global environmental challenges can be addressed holistically.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Addressing bias in AI requires diverse and representative datasets, transparency, accountability, and exploration of alternative AI paradigms prioritizing fairness and ethics. [3] [4] [5] Understanding Bias in AI:…”
Section: Literature Reviewmentioning
confidence: 99%