Debiasing AI
Rethinking the Intersection of Innovation and Sustainability

By (author) Donghee Shin

ISBN13: 9781032869780

Imprint: Routledge

Publisher: Taylor & Francis Ltd

Format: Hardback

Published: 15/04/2025

Availability: POD

Description
In an era where artificial intelligence (AI) drives unprecedented change, Debiasing AI examines the vital intersection of technology, innovation, and sustainability. This book confronts the pressing challenge of bias in AI systems, exploring its far-reaching implications for fairness, trust, and ethical practices. Through a multidisciplinary lens, the author examines how human biases are embedded in large language models, amplified by coded machine learning, and propagated through trained algorithms. Practical strategies are offered to address these issues, paving the way for the development of more equitable and inclusive AI technologies. With actionable insights, empirical case studies, and theoretical frameworks, Debiasing AI offers a roadmap for designing AI technologies that are not only innovative but also ethically sound and equitable. A must-read for scholars, industry leaders, and policymakers, this book inspires a reimagining of AI’s role in creating a fairer and more sustainable future.
Introduction: Debiasing AI: Rethinking the Intersection of Innovation and Sustainability PART ONE Ontology of AI Ethics: Ethical AI Principles 1 AI and Moral Agency: Can AI Have a Sense of Morality? 2 Decoding Algorithmic Privacy: How to Address Privacy Issues Raised by AI 3 AI and Transparency: In Transparency We Trust PART TWO Phenomenology of AI Ethics: How People Experience AI Ethics 4 Algorithmic Bias and Trust: How to Debias and Build Trust in AI 5 Algorithmic Nudge: A Nudge to Counter Algorithmic Bias 6 Algorithmic Heuristics: How People Evaluate the Ethics of Deepfakes PART THREE Epistemology of AI Ethics: Mechanism of Understanding AI Ethics 7 Algorithmic Equity: How Humans Understand AI Morality 8 The Ethics of AI Acceptance: How Ethical Heuristics Drive AI Adoption 9 Responsible AI and the Newsroom: How Does AI Journalism Make Sense of AI Ethics? PART FOUR Governance of AI Ethics: Striking the Right Balance Ethics and Regulation 10 The Moral Code: The Intersection of Ethics and Regulation in AI 11 Diversity-Aware AI: Designing AI Systems That Reflect Humanity 12 Algorithmic Inoculation: Immunizing Minds Against Bias
  • Science funding & policy
  • Artificial intelligence
  • General (US: Trade)
  • Professional & Vocational
  • Tertiary Education (US: College)
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Weight:720.00
List Price: £125.00