ARTIFICIAL INTELLIGENCE, ETHICS, AND PUBLIC TRUST: AN INTERDISCIPLINARY STUDY OF EMERGING TECHNOLOGIES
Keywords:
Artificial intelligence, ethics, public trust, technology policy, interdisciplinary research, responsible AI.Abstract
Artificial Intelligence (AI) has rapidly transformed decision-making processes across sectors such as healthcare, finance, governance, and public services. While AI-driven systems promise efficiency and innovation, their growing influence has raised ethical concerns related to transparency, accountability, bias, and data privacy. Public trust has emerged as a critical factor in determining the acceptance and effectiveness of AI technologies. This study adopts an interdisciplinary framework integrating perspectives from computer science, ethics, policy studies, and social sciences to examine the relationship between ethical AI practices and public trust. Using survey data and policy analysis, the study explores public perceptions of AI systems and identifies key ethical determinants influencing trust. The findings suggest that transparency, explainability, and regulatory oversight significantly enhance public confidence in AI technologies. The paper concludes with recommendations for ethical governance frameworks to support responsible AI deployment.
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