Human-Centered AI Systems: Balancing Automation, Ethics, and User Trust in Intelligent Technologies

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Deepali Laio

Abstract

As AI systems become deeply embedded in everyday applications, ensuring they align with human values and expectations is critical. This paper reviews the concept of human-centered AI, focusing on usability, fairness, transparency, and accountability. It examines frameworks for designing AI systems that enhance user trust while maintaining high performance. Applications in healthcare, finance, and public services are explored. The study also discusses ethical concerns such as bias, privacy, and decision accountability. Future research directions include participatory AI design, regulatory compliance, and improved human-AI interaction models.

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How to Cite
Laio, D. (2025). Human-Centered AI Systems: Balancing Automation, Ethics, and User Trust in Intelligent Technologies. Global Transactions on Science and Advanced Technologies, 2(2). Retrieved from https://publication.shreegprestige.com/index.php/GTSAT/article/view/21
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Articles

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