Trust, Transparency, and AI Adoption in Business

This study examines the psychological and emotional factors influencing AI adoption in Hungarian businesses, with a focus on trust, transparency, and user engagement.It highlights the strong connection between AI literacy and trust, emphasizing the role of clear communication, ethical safeguards, and intuitive design in fostering confidence and reducing resistance.Key challenges include fear of job loss, uncertainty in AI decision making, and ethical concerns.The study proposes practical solutions such as UI transparency, targeted training, and regulatory support to promote AI acceptance.A key contribution is the interdisciplinary approach, integrating business psychology with AI adoption strategies.This perspective underscores the importance of psychological readiness alongside technological advancements.Businesses should prioritize clear AI communication, user-friendly interfaces, and continuous training.Decisionmakers should focus on human cognitive and psychological aspects and transparency.Aligning technology with governance and education will ensure responsible AI adoption and longterm success.

Authors

Publication Details

Journal
Acta Polytechnica Hungarica
Published
2025-01-01
DOI
https://doi.org/10.12700/aph.22.6.2025.6.6
Citations
5
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
11.42
Controls
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article

Trust, Transparency, and AI Adoption in Business

Eszter Kovács, Ildikó Horváth
5 citations
Acta Polytechnica Hungarica
Big Data and Business Intelligence
11.42
article

Trust, Transparency, and AI Adoption in Business

Eszter Kovács, Ildikó Horváth
article en
5 citations

Abstract

This study examines the psychological and emotional factors influencing AI adoption in Hungarian businesses, with a focus on trust, transparency, and user engagement.It highlights the strong connection between AI literacy and trust, emphasizing the role of clear communication, ethical safeguards, and intuitive design in fostering confidence and reducing resistance.Key challenges include fear of job loss, uncertainty in AI decision making, and ethical concerns.The study proposes practical solutions such as UI transparency, targeted training, and regulatory support to promote AI acceptance.A key contribution is the interdisciplinary approach, integrating business psychology with AI adoption strategies.This perspective underscores the importance of psychological readiness alongside technological advancements.Businesses should prioritize clear AI communication, user-friendly interfaces, and continuous training.Decisionmakers should focus on human cognitive and psychological aspects and transparency.Aligning technology with governance and education will ensure responsible AI adoption and longterm success.

Acta Polytechnica HungaricaVol. 22(6)
Openalex Percentile: Top 2%
Big Data and Business Intelligence
11.42
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