Versions
- 2025-12-03 (2)
- 2025-11-30 (1)
Keywords
AI Workplaces
Digital Ethics
Generational differences
How to Cite
Abstract
In 21st-century workplaces, where the pace of digital change is fast, ethical issues are exponential, with 70% workers indicating unease due to AI. In particular, millennials and Gen Z expressed 30% more ethical and trust-related concerns in AI workplaces. Although AI rapid integration in workplaces has increased lately, including Healthcare and IT, generational differences in digital ethics perceptions remain a neglected aspect of influencing employee well-being, and that is what this review seeks to determine with the following objectives: i) to synthesize existing research on generational attitudes toward digital ethics in AI-driven healthcare and IT workplaces. ii) to examine the relationship between generational attitudes toward digital ethics and employee well-being, including stress, trust, and job satisfaction, among employees aged 24 to 55 in AI-driven health and IT workplaces, and iii) to identify research gaps and provide practical recommendations for organizations to foster ethical AI adoption through training, clear policies, and inclusive practices in multigenerational workplaces. Following the PRISMA framework, a systematic review was conducted, and data were sourced across three databases, i.e., ScienceDirect, PubMed, and Google Scholar, using keywords “digital ethics”, generational differences”, well-being, and AI workplaces with Boolean operators. A total of 33 full-text studies were included that met the inclusion criteria. The results showed a significant generational disparity in the interpretation of digital ethics, with the younger employees being more accepting and the older generation being more concerned about AI-related privacy and transparency. Such perceptual differences affect employees’ psychological well-being, trust, stress, and job satisfaction, more particularly in the field of healthcare, regarding ethical sensitivity related to patient data privacy.
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