Digital Righteousness: Artificial Intelligence, the Digital Divide, and the African Diaspora

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About this item

Artificial intelligence is already making decisions about who gets hired, approved for a mortgage, diagnosed with an illness, or identified by law enforcement. As artificial intelligence transforms healthcare, education, finance, employment, and criminal justice, it also raises an urgent question: What happens when the systems shaping our future fail to recognize our humanity? Digital Righteousness explores one of the defining issues of our generation—how artificial intelligence is impacting Black communities around the world and why every reader has a role to play in creating technology that is fair, accountable, and human-centered. Drawing on compelling stories, real-world examples, global case studies, and easy-to-understand explanations of AI, machine learning, generative AI, cybersecurity, and AI governance, this book helps readers understand both the extraordinary opportunities and the very real risks of our AI-driven future. Inside you'll discover: How algorithmic bias can influence hiring, lending, healthcare, education, and criminal justice Why historical inequality can become embedded in modern AI systems How AI is creating new opportunities for education, entrepreneurship, and economic mobility Practical ways individuals, families, communities, and leaders can help shape a more equitable digital future Written by retired Air Force computer and information systems officer Byron A. Love, a technology executive with more than 35 years of experience in cybersecurity, governance, and artificial intelligence, Digital Righteousness bridges the worlds of technology, public policy, and Christian ethics. Love translates complex technical concepts into clear, engaging language that empowers readers from every background to understand the technologies reshaping society. Unlike most books on artificial intelligence, Digital Righteousness places the experiences of the African diaspora at the center of the conversation while offering a hopeful vision for responsible innovation. Rather than encouraging fear, it equips readers to become informed participants in building AI systems that respect human dignity, expand opportunity, and promote justice. This book is ideal for: Students and emerging professionals preparing for careers in AI, cybersecurity, and technology Educators, HBCUs, and workforce development leaders preparing the next generation Business, government, and nonprofit leaders responsible for AI governance and responsible innovation Faith leaders and community advocates seeking to understand AI through the lens of ethics and justice Anyone who wants to replace fear of AI with knowledge, resilience, and purpose The future of artificial intelligence has not been written. Technology should never automate injustice. Together, we can ensure it advances opportunity instead.
ASIN: 1977287751
VSKU: DBV.1977287751.G
Condition: Good
Author/Artist:Love, Byron
Binding: Paperback
Note: Any images shown are stock photographs and product may differ from what is shown.
Condition Notes: Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly!
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  • Used - Good: All pages and cover are intact (including the dust cover, if applicable). Spine may show signs of wear. Pages may include limited notes and highlighting. Gently used ex-library books with library stickers and markings may be classified as good. Shrink wrap, dust covers, or boxed set case may be missing. Item may be missing bundled media. 
  • Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may but the dust cover may be missing. Pages may include limited notes and highlighting, but the text cannot be obscured or unreadable.

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  • Used - Good: Case may be damaged or come repackaged. Disc may have up to 1.5cm marking but is in great working condition. 
  • Used - Acceptable: A product with extensive external signs of wear, but is in great working condition. The case may be damaged. The cover art, liner, notes, or other inclusion may be marked, or one or all of these items may be missing.
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