Assessing ChatGPT's cybersecurity implications in Saudi Arabian healthcare and education sectors: A comparative study.

Study Purpose: This study aims to critically evaluate ChatGPT's impact on cybersecurity in healthcare and education sectors.

Methods: This 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.

Results: Healthcare 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.

Conclusion: A balanced approach to ChatGPT's integration that carefully considers ethical implications, data privacy, and the technology's dual-use potential is required.