Epistemic Trust in AI-Generated Knowledge: Global Trends in Research Ethics
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Artificial intelligence (AI) is increasingly reshaping the ways knowledge is created and trusted. As AI-generated content becomes more common, questions about reliability and credibility are moving to the center of academic and public debate. These concerns extend beyond technical performance and raise fundamental questions about how knowledge is evaluated and accepted. Responses to AI-generated knowledge are shaped by cultural and regional perspectives, making trust a global challenge rather than a purely technological one. The future of AI-generated knowledge depends not only on technological capability, but also on public confidence in its use and evaluation. Epistemic Trust in AI-Generated Knowledge: Global Trends in Research Ethics explores the ethical questions that emerge as AI becomes increasingly involved in the production and dissemination of information. Drawing on perspectives from different regions and scholarly traditions, this book examines how cultural and contextual factors shape perceptions of AI-generated knowledge. Covering topics such as algorithmic governance, LLM hallucination, and teacher identity, this book is an indispensable academic resource for graduate and doctoral students, knowledge management researchers, higher education professionals, data scientists, public sector professionals, policymakers, and more.
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