Ethics, Governance, and Fairness in Large-Scale Data Science and Algorithmic Decision Systems
Ethics, Governance, and Fairness in Large-Scale Data Science and Algorithmic Decision Systems
English | October 17, 2025 | ASIN: B0FWRWY64L | 259 pages | Epub | 2.66 MB
English | October 17, 2025 | ASIN: B0FWRWY64L | 259 pages | Epub | 2.66 MB
In an age where data drives decisions that shape lives, Ethics, Governance, and Fairness in Large-Scale Data Science and Algorithmic Decision Systems asks the vital question: Can technology remain just, transparent, and accountable?
Written by Harish Janardhanan, a seasoned technology leader and IEEE member, this book explores how ethical principles fairness, privacy, transparency, and accountability can guide the design of responsible AI and data systems. Drawing on real-world examples and research, it examines how bias, opaque algorithms, and weak governance can distort justice, opportunity, and trust.
Through practical frameworks, governance models, and policy insights, readers learn how to audit algorithms, safeguard privacy, and balance innovation with responsibility. Covering global perspectives, legal standards, and emerging technologies, the book offers a roadmap for building AI that aligns with human values.
Ideal for data scientists, policymakers, researchers, and leaders, this work bridges the gap between technology and ethics empowering readers to create intelligent systems that serve society fairly.