Algorithmic Inequality: The Hidden Costs of Data Bias in Rural Development
Randolph Villanueva
Nicholas Horne · AI-narrated by Maxwell (from Google)
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5 hr 1 min
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Discover the hidden ways algorithms are shaping rural lives, not always for the better. Algorithmic Inequality: The Hidden Costs of Data Bias in Rural Development reveals how algorithms used in loan applications, social media, and government services can unintentionally—and sometimes intentionally—disadvantage rural communities. This insightful book explores the critical issue of data scarcity in rural areas and how it fuels biased algorithms, exacerbating existing inequalities in access to resources, information, and opportunities. Through compelling case studies, the book examines the impact of algorithmic bias on financial services, information access, government resource allocation, and even social cohesion. Learn about the social and psychological consequences of this digital divide and explore potential solutions, from regulatory frameworks to community-based oversight and the development of fairer algorithms. This essential read offers practical strategies and partnerships to create a more equitable and just future for rural communities, empowering them in the digital age. Prepare to be informed and challenged to consider the unseen impacts of technology on those often overlooked.
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