AI Pluralism
Fostering Diversity and Dialogue in Artificial Intelligence
Buch in deiner Nähe kaufen
Beschreibung
As artificial intelligence continues to advance rapidly, we face critical questions about how to develop these systems safely, ethically, and effectively. This book introduces and develops the concept of AI Pluralism - an approach that embraces the differentiation of AI agents in terms of their perspectives and capabilities, enabling genuine dialectical exchange and meaningful diversity in artificial intelligence development. Through contributions from leading scholars across computer science, education, communication, and philosophy, this volume provides a comprehensive examination of both the theoretical foundations and practical applications of AI Pluralism. The book begins by establishing the fundamental concepts and necessity of AI Pluralism in addressing current challenges in AI development, including bias, transparency, and safety concerns. It then expands into specialized discussions exploring how AI Pluralism intersects with education, ethics, industry applications, and technical implementation. Each chapter builds upon the others to create a cohesive framework for understanding and implementing pluralistic approaches to AI development. The volume concludes by examining the role of debate and dialectical reasoning in ensuring AI safety and ethical deployment, offering a practical pathway forward for the field. Through this multifaceted exploration, the book provides researchers, developers, educators, and policymakers with both theoretical grounding and practical guidance for implementing AI Pluralism. It represents a significant contribution to our understanding of how artificial intelligence can be developed in ways that enhance rather than diminish human capability and agency.
P. Anand Rao is a Professor of Communication and Director of the Center for AI and the Liberal Arts at the University of Mary Washington.
As artificial intelligence continues to advance rapidly, we face critical questions about how to develop these systems safely, ethically, and effectively. This book introduces and develops the concept of AI Pluralism - an approach that embraces the differentiation of AI agents in terms of their perspectives and capabilities, enabling genuine dialectical exchange and meaningful diversity in artificial intelligence development. Through contributions from leading scholars across computer science, education, communication, and philosophy, this volume provides a comprehensive examination of both the theoretical foundations and practical applications of AI Pluralism. The book begins by establishing the fundamental concepts and necessity of AI Pluralism in addressing current challenges in AI development, including bias, transparency, and safety concerns. It then expands into specialized discussions exploring how AI Pluralism intersects with education, ethics, industry applications, and technical implementation. Each chapter builds upon the others to create a cohesive framework for understanding and implementing pluralistic approaches to AI development. The volume concludes by examining the role of debate and dialectical reasoning in ensuring AI safety and ethical deployment, offering a practical pathway forward for the field. Through this multifaceted exploration, the book provides researchers, developers, educators, and policymakers with both theoretical grounding and practical guidance for implementing AI Pluralism. It represents a significant contribution to our understanding of how artificial intelligence can be developed in ways that enhance rather than diminish human capability and agency.
Examines the role of debate and dialectical reasoning in ensuring AI safety and ethical deployment Develops a theory of "AI pluralism," or the differentiation of AI agents in terms of their perspectives & capabilities Bridges theoritical concepts with practical implementation
Autor*in
P. Anand Rao
Themen in »AI Pluralism«
AI Safety Rhetorical Argumentation AI Ethics AI Alignment AI Pluralism Explainable AI AI Contestability AI Debate Human-AI Interaction AI Education AI Governance Multi-Agent Language Systems (MALS) Computational Argumentation Multi-Agent AI AI Communication