Human-Centered Computing Frameworks for Enhancing Trust, Transparency, and Fairness in Artificial Intelligence Applications
Keywords:
Human-Centered Computing, Artificial Intelligence, Trust, Transparency, Fairness, Explainable AI, Participatory Design, Ethics in AIAbstract
As Artificial Intelligence (AI) continues to permeate critical domains—such as healthcare, criminal justice, finance, and education—the demand for systems that uphold human values has intensified. This paper explores the role of Human-Centered Computing (HCC) frameworks in fostering trust, transparency, and fairness in AI applications. Through a systematic review of literature and current socio-technical developments, we propose a structured HCC framework that integrates human agency, explainability, participatory design, and ethical oversight into AI development and deployment. We argue that embedding HCC principles within the AI pipeline is essential for aligning technical performance with social acceptability, particularly in high-stakes environments.
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