01275nas a2200145   4500000000100000008004100001260001200042100001900054700001500073700001900088245003700107856005900144520091200203022001401115       2023                            d  c2023-061 aKatina Michael1 aRoba Abbas1 aGeorge Roussos00aAI in Cybersecurity: The Paradox  uhttps://ieeexplore.ieee.org/abstract/document/101534423 aModern artificial intelligence is inherently paradoxical in many ways. While AI aims to increase automation, it also requires more intimate human involvement to reflect on the insights generated (automation paradox). While AI results in job displacement, it also creates new jobs, some simply to provide the necessary support systems for those newly unemployed (transition paradox). And as generative AI takes away control over the creative process, it also offers new creative opportunities (creativity paradox). This article considers another paradox, that relates to the fact that computational systems created using AI can be used both for public good in civilian applications and for harm across a range of application areas and settings . This contradiction is explored within an organizational and governmental context, where modern AI relies on data which might be externally or internally-sourced .  a2637-6415