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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
Trade-Offs: Balancing Intelligence, Ethics, and Human Judgment in the Age of AI

Trade-Offs: Balancing Intelligence, Ethics, and Human Judgment in the Age of AI

Majumdar, Partha

Paperback

Series: Data Sciences

Business GeneralGeneral Computers

ISBN13: 9798196399282
Publisher: Independently Published
Published: May 10 2026
Pages: 306
Weight: 1.57
Height: 0.64 Width: 8.50 Depth: 11.00
Language: English
Artificial Intelligence is transforming every aspect of modern life - from healthcare and finance to governance, education, manufacturing, cybersecurity, and enterprise operations. Yet beneath the extraordinary capabilities of AI lies a deeper reality: every intelligent system operates through trade-offs.

Greater speed may reduce quality. Higher accuracy may weaken interpretability. Automation can erode human oversight. Personalisation challenges privacy. Innovation collides with regulation. Scalability compromises explainability. Continuous learning threatens stability. Every advancement in AI introduces competing priorities that organisations, governments, and societies must carefully balance.

Trade-Offs is a powerful exploration of the tensions shaping the age of intelligent machines.

Rather than treating AI as a collection of tools or technical buzzwords, this book examines the deeper operational, ethical, economic, organisational, and philosophical dilemmas emerging from the widespread adoption of artificial intelligence. Through real-world examples, enterprise case studies, governance challenges, and strategic analysis, the book demonstrates that the future of AI will depend not merely on technological progress but on humanity's ability to navigate these competing forces wisely.

The book begins with foundational machine learning dilemmas, such as the precision-recall and speed-quality trade-offs, illustrating how even the most basic AI systems must balance conflicting objectives. It then moves into discussions surrounding interpretability, automation, human oversight, privacy, regulation, infrastructure cost, scalability, organisational transformation, and the evolving relationship between humans and intelligent systems.

Key topics include:

- The Precision-Recall Trade-Off

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