Artificial Intelligence Literacy and Ethical Digital Governance: Pathways of Multi-Stakeholder Collaboration and Value Alignment
DOI:
https://doi.org/10.56868/jadhur.v4i3.310Keywords:
Artificial Intelligence Literacy, Ethical Digital Governance, Multi Stakeholder Collaboration, Value Alignment, Stakeholder Theory, Public Value Theory, Responsible AIAbstract
The need for ethical governance based on responsibility, transparency, and equity has increased due to the rapid integration of artificial intelligence (AI) in business, education, and governance. This study explores the relationship between value alignment, multi-stakeholder engagement, and AI literacy as key pillars of moral digital governance. Based on public value theory and stakeholder theory, the study employs a qualitative interpretive design that combines comparative case analysis and grounded theory. Between 2019 and 2025, data on governance systems in the Global South, China, and the European Union were gathered from academic publications, institutional reports, and international policy instruments. According to research, value alignment serves as the normative outcome that ensures consistency between AI systems and social ethics, collaboration serves as the working tool that transforms literacy into ethical governance, and AI literacy serves as the cognitive foundation for evidence-based engagement. While fragmented or top-down models of governance fell short in terms of accountability and inclusivity, regions such as the EU and China that integrated AI literacy and participatory governance into their institutional framework demonstrated greater ethical coherence and public trust. The study offers a strong theoretical and applied framework that demonstrates how literacy-based collaboration results in moral and value-based governance. The study recommended trust-based and participatory discussion instead of regulatory compliance to AI governance. In addition the study recommended that the stakeholders such as educators, policymakers, and technology develop the models that connect the most important components that are, literacy, cooperation, and value alignment to develop human-centered and socially acceptable AI technologies in the emerging digital era.
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