PREDICTORS OF ARTIFICIAL INTELLIGENCE ACCEPTANCE: FROM ATTITUDES TO BEHAVIOR ACROSS GENERATIONAL GROUPS
DOI:
https://doi.org/10.35120/sciencej0501015bKeywords:
AI acceptance, usage behavior, generational cohorts, risk perception, trust, regression modeling, Technology Acceptance ModelAbstract
The rapid development of artificial intelligence (AI) raises questions about its acceptance across different generational groups, particularly in terms of trust, perceived risks, and actual use. This research, based on the Technology Acceptance Model (TAM), analyzes how generations X, Y, and Z perceive the benefits and risks of AI, contributing to understanding the social implications of AI for ethical and sustainable development. The aim is to identify key predictors of AI acceptance across generational differences. The research was conducted via an online survey distributed via social media from September 1 to 10, 2025, among a convenience sample of 101 respondents from generations X (1965–1980, N=33), Y (1981–1996, N=34), and Z (1997–2012, N=34). The findings indicate the need for tailored educational strategies to increase trust in AI. Future research should examine longitudinal behavioral outcomes and interactions of TAM variables.
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