A new study highlights policies and strategies for leveraging social networks to promote responsible AI adoption
A new longitudinal study has extended the Technology Acceptance Model by using artificial intelligence (AI) ethics as a dynamic mediator between social influence and the acceptance of AI technology.
The findings were featured in “Socially Constructed Ethics in AI Acceptance: A Longitudinal Study on AI Ethics as the Mechanism Bridging Social Persuasion and Technology Acceptance” by University of Florida College of Journalism and Communications (UFCJC) doctoral students Fanjue Liu, Lee LaPlaca and Chris DeFelice and UFCJC Dianne Snedaker Chair in Media Trust and research director for the Consortium on Trust in Media and Technology Seungahn Nah. The article was published in the International Journal of Human-Computer Interaction on Nov. 24, 2025.
The study made three notable contributions to the Technology Acceptance Model including incorporating AI ethics to influence the acceptance of AI, demonstrating that AI ethics is continuously under social influence and redefining AI acceptance as socially constructed ethical process.
According to the authors, “The findings highlight the central role of social persuasion and AI ethics in driving AI acceptance, providing actionable insights for policymakers, industry practitioners and organizations.”
They add, “By recognizing AI acceptance as a dynamic, socially embedded process rather than a static decision, this study emphasizes the importance of responsive and flexible policies and practices. Such adaptive approaches enable stakeholders to remain attentive to evolving ethical considerations and technological innovations, ensuring that AI adoption continues to align with societal values and expectations.”
Category: College News, Student News, Trust News
Tagged: AI Chris DeFelice Fanjue Liu Lee LaPlaca Seungahn Nah
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