Donghee Shin (122 results)

Paperback. Condition: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

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Paperback. Condition: new. Paperback. How is AI transforming the ways society decides what is true? Algorithms now go beyond detecting misinformation. They operate with agentic reasoning, identifying patterns, evaluating credibility, and shaping how truth is defined. Algorithmic Fact-Verification: Methods and Ethics explains how human judgment and machine intelligence intertwine in the creation of trust and credibility. It examines the social and moral consequences of giving AI an active rolein verification, offering an accessible and thought-provoking account of how AI fact-checking is reshaping journalism, knowledge, and democracy in the digital age. Moving beyond the technicalities ofmisinformation detection, Shin analyzes how truth is produced, governed, and contested in the algorithmic age. Through a synthesis of communication theory, cognitive epistemology, and science and technology studies, we trace fact-checking's evolution from a reactive journalistic practice into an automated, infrastructural system endowed with epistemic agency. Emerging AI systems can autonomously identify misinformation patterns, generate hypotheses, and cross-validate claims acrossdomains-turning verification into a self-reflective epistemic process. This shift marks the rise of agentic epistemology, where AI not only executes verification protocols but participates in reasoning,evaluation, and justification.Original frameworks such as Algorithmic Epistemology Theory and Cognitive Epistemic Modeling explain how algorithms construct, classify, and legitimize truth through probabilistic reasoning, datafication, and human-AI collaboration. The analysis unfolds across multiple levels: from cognitive biases that shape belief formation, to the infrastructural governance of algorithmic verification, to the ethical imperatives of transparency, fairness,and explainability. AI fact-checking does not simply detect falsehoods. It helps define the epistemic conditions under which truth becomes knowable. AI systems mediate credibility and knowledge whilecharting a path toward democratic and reflexive epistemic infrastructures in AI-mediated societies. Algorithmic Fact-Verification: Methods and Ethics explains how human judgment and machine intelligence intertwine in the creation of trust and credibility. It examines the social and moral consequences of giving AI an active role in verification, offering an accessible and thought-provoking account of how AI fact-checking is reshaping journalism, knowledge, and democracy in the digital age. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

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Paperback. Condition: New. Amidst the rampant use of algorithmization enabled by AI, the common theme of AI systems is the human factor. Humans play an essential role in designing, developing, and operationalizing AI systems. We have a remit to ensure those systems run transparently, perform equitably, value our privacy, and effectively fulfill human needs. This book takes an interdisciplinary approach to contribute to the ongoing development of human-AI interaction with a particular focus on the "human" dimension and provides insights to improve the design of AI that could be genuinely beneficial and effectively used in society. The readers of this book will benefit by gaining insights into various perspectives about how AI has impacted people and society and how it will do so in the future, and understanding how we can design algorithm systems that are beneficial, legitimate, usable by humans, and designed considering and respecting human values. This book provides a horizontal set of guidelines and insight into how humans can be empowered by making choices about AI designs that allow them meaningful control over AI. Designing meaningful AI experiences has garnered great attention to address responsibility gaps and mitigate them by establishing conditions that enable the proper attribution of responsibility to humans. This book helps us understand the possibilities of what AI systems can do and how they can and should be integrated into our society.…

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Paperback. Condition: New. 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.…

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Paperback. Condition: Brand New. 352 pages. 7.09x0.62x9.85 inches. In Stock.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - In contemporary life, people increasingly encounter AI not as an autonomous intelligence or distant technical infrastructure, but as an interface that quietly organizes perception, judgment, and action. Recommendation feeds shape what comes into view and what is ignored, generative systems influence how questions are asked and how answers appear, and automated labels, scores, and rankings signal what counts as credible, risky, or acceptable. Navigation tools determine routes, hiring platforms order candidates, and decision support systems suggest outcomes, often without issuing explicit instructions. Individuals are rarely coerced or commanded; instead, they move through environments of preconfigured options that present themselves as neutral, efficient, and helpful. This book argues that such interfaces are reshaping the conditions of human agency by positioning people as interface users who choose among alternatives already filtered, ranked, and framed by AI systems. Freedom is not removed, but reorganized, as choice persists within environments where scope, visibility, and friction are designed in advance. By shifting attention away from models, data, and abstract ethics toward lived experience, the book conceptualizes interfaces as architectures of action that redistribute authority, normalize automated trust, and subtly displace responsibility. Its central claim is that the most consequential power of AI today operates neither through command nor persuasion, but through interface design that quietly reorganizes how people decide, act, and understand their own choices.…

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Condition: New. 2025. 1st Edition. paperback. . . . . .

Paperback. Condition: Brand New. 240 pages. 9.19x6.13x0.49 inches. In Stock.

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