Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Assessing ChatGPT's cybersecurity implications in Saudi Arabian healthcare and education sectors: A comparative study
0
Zitationen
1
Autoren
2024
Jahr
Abstract
Study purposeThis study aims to critically evaluate ChatGPT's impact on cybersecurity in healthcare and education sectors.MethodsThis study employed a cross-sectional survey design, collecting data from healthcare and educational professionals in Saudi Arabia through a structured questionnaire, with 205 healthcare workers' and 214 educators. The survey assessed perceptions of ChatGPT's impact on cybersecurity opportunities and challenges, with data analyzed using descriptive statistics and ANOVA to explore differences across professional roles.ResultsHealthcare professionals viewed artificial intelligence (AI) more favorably (mean scores 4.24 and 4.14) than those in education, who showed moderate enthusiasm (mean scores 2.55 to 3.54). Concerns over data privacy and the cost of securing AI were significant, with high mean scores of 3.59 indicating widespread apprehension.ConclusionA balanced approach to ChatGPT's integration that carefully considers ethical implications, data privacy, and the technology's dual-use potential is required.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.393 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.259 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.688 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.502 Zit.