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AI Narratives by Stephen Cave,Kanta Dihal,Sarah Dillon Pdf
This text examines the history of imaginative thinking about intelligent machines, featuring contributions from leading humanities and social science scholars who detail the narratives about artificial intelligence (AI) that in turn offer a crucial epistemic site for exploring contemporary debates about these powerful technologies.
AI Narratives by Stephen Cave,Kanta Dihal,Sarah Dillon Pdf
This book is the first to examine the history of imaginative thinking about intelligent machines. As real Artificial Intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed, deployed and regulated. It is therefore a crucial social and ethical issue. Part I of this book provides a historical overview from ancient Greece to the start of modernity. These chapters explore the revealing pre-history of key concerns of contemporary AI discourse, from the nature of mind and creativity to issues of power and rights, from the tension between fascination and ambivalence to investigations into artificial voices and technophobia. Part II focuses on the twentieth and twenty-first-centuries in which a greater density of narratives emerge alongside rapid developments in AI technology. These chapters reveal not only how AI narratives have consistently been entangled with the emergence of real robotics and AI, but also how they offer a rich source of insight into how we might live with these revolutionary machines. Through their close textual engagements, these chapters explore the relationship between imaginative narratives and contemporary debates about AI's social, ethical and philosophical consequences, including questions of dehumanization, automation, anthropomorphisation, cybernetics, cyberpunk, immortality, slavery, and governance. The contributions, from leading humanities and social science scholars, show that narratives about AI offer a crucial epistemic site for exploring contemporary debates about these powerful new technologies.
AI Narratives by Stephen Cave,Kanta Dihal,Sarah Dillon Pdf
This book is the first to examine the history of imaginative thinking about intelligent machines. As real Artificial Intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed, deployed and regulated. It is therefore a crucial social and ethical issue. Part I of this book provides a historical overview from ancient Greece to the start of modernity. These chapters explore the revealing pre-history of key concerns of contemporary AI discourse, from the nature of mind and creativity to issues of power and rights, from the tension between fascination and ambivalence to investigations into artificial voices and technophobia. Part II focuses on the twentieth and twenty-first-centuries in which a greater density of narratives emerge alongside rapid developments in AI technology. These chapters reveal not only how AI narratives have consistently been entangled with the emergence of real robotics and AI, but also how they offer a rich source of insight into how we might live with these revolutionary machines. Through their close textual engagements, these chapters explore the relationship between imaginative narratives and contemporary debates about AI's social, ethical and philosophical consequences, including questions of dehumanization, automation, anthropomorphisation, cybernetics, cyberpunk, immortality, slavery, and governance. The contributions, from leading humanities and social science scholars, show that narratives about AI offer a crucial epistemic site for exploring contemporary debates about these powerful new technologies.
This overview of the ethical issues raised by artificial intelligence moves beyond hype and nightmare scenarios to address concrete questions—offering a compelling, necessary read for our ChatGPT era. Artificial intelligence powers Google’s search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions. Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein’s monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.
Storylistening makes the case for the urgent need to take stories seriously in order to improve public reasoning. Dillon and Craig provide a theory and practice for gathering narrative evidence that will complement and strengthen, not distort, other forms of evidence, including that from science. Focusing on the cognitive and the collective, Dillon and Craig show how stories offer alternative points of view, create and cohere collective identities, function as narrative models, and play a crucial role in anticipation. They explore these four functions in areas of public reasoning where decisions are strongly influenced by contentious knowledge and powerful imaginings: climate change, artificial intelligence, the economy, and nuclear weapons and power. Vivid performative readings of stories from The Ballad of Tam-Lin to The Terminator demonstrate the insights that storylistening can bring and the ways it might be practised. The book provokes a reimagining of what a public humanities might look like, and shows how the structures and practices of public reasoning can evolve to better incorporate narrative evidence. Storylistening aims to create the conditions in which the important task of listening to stories is possible, expected, and becomes endemic. Taking the reader through complex ideas from different disciplines in ways that do not require any prior knowledge, this book is an essential read for policymakers, political scientists, students of literary studies, and anyone interested in the public humanities and the value, importance, and operation of narratives.
Posthuman Becoming Narratives in Contemporary Anglophone Science Fiction by Zhang Na Pdf
This book explores the integration of narratology with posthumanism by examining a large scope of narratives in science fiction over nearly half a century in a range of major Anglophone countries. Based on the rhizome of posthumanism, analysis of the posthuman narrative embodiments in selected contemporary Anglophone science fiction, it investigates Ursula K. Le Guin’s The Left Hand of Darkness (1969), Ian Watson’s The Jonah Kit (1975), Iain Banks’ The Bridge (1986) and Richard Powers’ Galatea 2.2 (1995) as exemplifying various aspects of posthuman becoming-other. The book shows that, in the reactive logic of nihilism, the becoming-other posthuman, rather than posing a threat, proves to be the companion and savior of human beings, whose apocalyptic sacrifice brings back the all-too-human humanity to the chaotic world of presence.
Multidisciplinary Approaches in AI, Creativity, Innovation, and Green Collaboration by Fields, Ziska Pdf
Creativity must be turned into innovation that adds value and leads to strategic action. Innovation is often associated with Silicon Valley, expensive research and development departments, and expensive commercialization that primarily benefits a small portion of the worlds population. A small portion of the worlds population working together to solve wicked green problems is not enough either. Green creativity and eco-innovation are necessary to help solve green problems by making products and services available and affordable to the masses. Multidisciplinary Approaches in AI, Creativity, Innovation, and Green Collaboration focuses on the importance of green creativity, eco-innovation, and collaboration to create a more sustainable world. It builds on the available literature and joint expertise in the field of management while providing further research opportunities in this dynamic field. Covering topics such as eco-leadership, green marketing, and social responsibility communication, this premier reference source is a comprehensive and timely resource for government officials, decision makers, business leaders and executives, students and educators of higher education, librarians, researchers, and academicians.
International Negotiation and Political Narratives by Fen Osler Hampson,Amrita Narlikar Pdf
This book shows that political narratives can promote or thwart the prospects for international cooperation and are major factors in international negotiation processes in the 21st century. In a world that is experiencing waves of right-wing and left-wing populism, international cooperation has become increasingly difficult. This volume focuses on how the intersubjective identities of political parties and narratives shape their respective values, interests and negotiating behaviors and strategies. Through a series of comparative case studies, the book explains how and why narratives contribute to negotiation failure or deadlock in some circumstances and why, in others, they do not because a new narrative that garners public and political support has emerged through the process of negotiation. The book also examines how narratives interact with negotiation principles, and alter the bargaining range of a negotiation, including the ability to make concessions. This book will be of much interest to students of international negotiation, economics, security studies and international relations.
Narrative Intelligence by Michael Mateas,Phoebe Sengers Pdf
Narrative Intelligence (NI) — the confluence of narrative, Artificial Intelligence, and media studies — studies, models, and supports the human use of narrative to understand the world. This volume brings together established work and founding documents in Narrative Intelligence to form a common reference point for NI researchers, providing perspectives from computational linguistics, agent research, psychology, ethology, art, and media theory. It describes artificial agents with narratively structured behavior, agents that take part in stories and tours, systems that automatically generate stories, dramas, and documentaries, and systems that support people telling their own stories. It looks at how people use stories, the features of narrative that play a role in how people understand the world, and how human narrative ability may have evolved. It addresses meta-issues in NI: the history of the field, the stories AI researchers tell about their research, and the effects those stories have on the things they discover. (Series B)
Artificial Intelligence and Learning Futures by Stefan Popenici Pdf
Artificial Intelligence and Learning Futures: Critical Narratives of Technology and Imagination in Higher Education explores the implications of artificial intelligence’s adoption in higher education and the challenges to building sustainable instead of dystopic schooling. As AI becomes integral to both pedagogy and profitability in today’s colleges and universities, a critical discourse on these systems and algorithms is urgently needed to push back against their potential to enable surveillance, control, and oppression. This book examines the development, risks, and opportunities inherent to AI in education and curriculum design, the problematic ideological assumptions of intelligence and technology, and the evidence base and ethical imagination required to responsibly implement these learning technologies in a way that ensures quality and sustainability. Leaders, administrators, and faculty as well as technologists and designers will find these provocative and accessible ideas profoundly applicable to their research, decision-making, and concerns.
Narrative Analogy in the Hebrew Bible by Joshua Berman Pdf
This volume sheds fresh light upon the phenomenon of narrative doubling in the Hebrew Bible. Through an innovative interdisciplinary model the author defines the notion of narrative analogy in relation to other literatures where it has been studied such as English Renaissance drama and makes extensive critical use of contemporary literary theory, particularly that of the Russian formalist Vladimir Propp. His exploitation of narrative doubling, with a focus upon the metaphorical, reorients our reading by uncovering a major dynamic in biblical literature. The author examines several battle reports and demonstrates how each could be interpreted as an oblique commentary and metaphor for the non-battle account that immediately precedes it. Battle scenes are revealed to stand in metaphoric analogy with, among others, accounts of a trial, a rape, a drinking feast, and a court-deliberation. Joshua Berman offers new insights to the ever-growing concern with the relationship between historiography and literary strategies, and succeeds in articulating a new aspect of biblical ideology concerning human and divine relationship.
Research Handbook on Artificial Intelligence and Communication by Seungahn Nah Pdf
This forward-looking Research Handbook makes an insightful contribution to the emerging field of studies on communication of, by and with AI. Bringing together state-of-the-art research from over 50 leading international scholars across various fields, it provides a comprehensive overview of the complex intersections between AI and communication.
Balancing Automation and Human Interaction in Modern Marketing by Nair, Arjun J.,Manohar, Sridhar,Mittal, Amit,Ahmed, Wasim Pdf
In modern marketing, a pivotal challenge has surfaced - finding the delicate balance between automation and human interaction. This challenge stems from the rapid advancement of artificial intelligence (AI) technologies, which, while promising unparalleled efficiency and innovation, also lack the personal touch inherent in traditional marketing. As AI gains prominence, marketers grapple with integrating automated processes while preserving the authenticity and emotional resonance that human engagement brings. Balancing Automation and Human Interaction in Modern Marketing positions itself as a guiding force in achieving balance amid the changing marketing landscape. Within the pages of this book lies a comprehensive exploration of contemporary marketing challenges centered on striking the right balance between automation and human interaction. The quest for optimal equilibrium threads through topics such as elevating customer experiences, scalable personalization through AI, emotional intelligence in marketing, and the critical role of human-centered design. By addressing these challenges head-on, the book provides practical advice for implementing AI in marketing but positions ethics at the forefront. It advocates for responsible AI-driven marketing, fostering trust, and ensuring that the human touch remains a cornerstone of brand-consumer relationships.
How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for a “dazzling” (The New York Times) look at the future that “brims with intriguing insights” (Financial Times). This edition includes a new foreword by Kai-Fu Lee. Named a best book of the year by The Wall Street Journal • The Washington Post • Financial Times Long before the advent of ChatGPT, Kai-Fu Lee and Chen Qiufan understood the enormous potential of artificial intelligence to transform our daily lives. But even as the world wakes up to the power of AI, many of us still fail to grasp the big picture. Chatbots and large language models are only the beginning. In this “inspired collaboration” (The Wall Street Journal), Lee and Chen join forces to imagine our world in 2041 and how it will be shaped by AI. In ten gripping, globe-spanning short stories and accompanying commentary, their book introduces readers to an array of eye-opening settings and characters grappling with the new abundance and potential harms of AI technologies like deep learning, mixed reality, robotics, artificial general intelligence, and autonomous weapons.
