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Understanding AI: A Human-Centered Primer for All is an accessible, multidisciplinary guide to what AI is, how it functions, where it provides benefits, and where it can cause harm. It explains core concepts (algorithms, machine learning, narrow vs. general AI) and dispels myths, using straightforward language, visuals, and a glossary. The book traces AI's development and illustrates its everyday impacts across homes, schools, clinics, cities, retail, banking, and transportation-framed by global case studies (Kenya, Brazil, India, Finland). It examines ethical risks-bias, privacy, opacity, job disruption-while emphasizing explainability, data governance, and human oversight. Dedicated chapters explore inequality, labour, surveillance at work, innovation (including digital twins), education and health, regulation and civic engagement, model types, prompts, and exercises. The core message is practical empowerment: transparency, accountability, inclusion, and policy literacy so readers can influence AI for fairer, sustainable outcomes.
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