Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Ethical AI: Confronting Bias and Protecting Privacy in a Changing World

Ethical AI: Confronting Bias and Protecting Privacy in a Changing World

Wrenhart, Calen

Paperback

Series: Bussiness Collections

General ComputersComputer Security

ISBN13: 9798278495048
Publisher: Independently Published
Published: Dec 12 2025
Pages: 280
Weight: 0.83
Height: 0.59 Width: 6.00 Depth: 9.00
Language: English
Our world is changing due to artificial intelligence, but at what cost?

The need for genuinely ethical AI is more than ever since algorithms influence choices regarding our identities, jobs, health, and security. The timely, in-depth, and enlightening book Ethical AI uncovers the unseen forces influencing contemporary AI systems and what has to be done to guarantee they serve mankind properly.

Calen Wrenhart reveals the true causes underlying societal injustice, privacy threats, and AI prejudice in this indispensable book. This book illustrates how AI frequently exacerbates rather than eliminates injustice through compelling case studies ranging from financial systems and recruiting tools to predictive policing and healthcare algorithms. More significantly, it offers a precise road map for creating accountable, transparent, and responsible AI systems that uphold human dignity.

This book provides you with the knowledge to comprehend how AI actually functions, why ethical errors occur, and potential remedies, regardless of your background technologist, policymaker, researcher, company leader, student, or regular citizen worried about the future.

Inside You Will uncover:

  • How prejudice is learned by AI systems from past data and why this jeopardizes justice
  • The concerning privacy dangers that are present in commonplace technologies
  • Examples of AI gone wrong in the fields of finance, healthcare, and law enforcement
  • Fairness, accountability, transparency, and human rights are the fundamental tenets of ethical AI.
  • Global legal frameworks influencing AI governance in the future
  • Techniques for developing responsible machine learning and minimizing algorithmic bias
  • The impact of AI on socioeconomic inequity, democracy, and personal autonomy
  • Future scenarios-dangerous, optimistic, and hybrid-and their implications for humankind
  • Practical actions that people, institutions, and governments need to take right now

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