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Creative AI defines art and media practices that have AI embedded into the process of creation, but also encompass novel AI approaches in the realisation and experience of such work, e.g. robotic art, distributed AI artworks across locations, AI performers, artificial musicians, synthetic images generated by neural networks, AI authors and journalist bots. This book builds on the discourse of AI and creativity and extends the notion of embedded and co-operative creativity with intelligent software. It does so through a human-centred approach in which AI is empowered to make the human experience more creative. It presents ways-of-thinking and doing by the creators themselves so as to add to the ongoing discussion of AI and creativity at a time when the field needs to expand its thinking. This will avoid over-academization of this emerging field, and help counter engrained prejudice and bias. The Language of Creative AI contains technical descriptions, theoretical frameworks, philosophical concepts and practice-based case studies. It is a compendium of thinking around creative AI for technologists, human-computer interaction researchers and artists who are wishing to explore the creative potential of AI.
“A brilliant travel guide to the coming world of AI.” —Jeanette Winterson What does it mean to be creative? Can creativity be trained? Is it uniquely human, or could AI be considered creative? Mathematical genius and exuberant polymath Marcus du Sautoy plunges us into the world of artificial intelligence and algorithmic learning in this essential guide to the future of creativity. He considers the role of pattern and imitation in the creative process and sets out to investigate the programs and programmers—from Deep Mind and the Flow Machine to Botnik and WHIM—who are seeking to rival or surpass human innovation in gaming, music, art, and language. A thrilling tour of the landscape of invention, The Creativity Code explores the new face of creativity and the mysteries of the human code. “As machines outsmart us in ever more domains, we can at least comfort ourselves that one area will remain sacrosanct and uncomputable: human creativity. Or can we?...In his fascinating exploration of the nature of creativity, Marcus du Sautoy questions many of those assumptions.” —Financial Times “Fascinating...If all the experiences, hopes, dreams, visions, lusts, loves, and hatreds that shape the human imagination amount to nothing more than a ‘code,’ then sooner or later a machine will crack it. Indeed, du Sautoy assembles an eclectic array of evidence to show how that’s happening even now.” —The Times
An authority on creativity introduces us to AI-powered computers that are creating art, literature, and music that may well surpass the creations of humans. Today's computers are composing music that sounds “more Bach than Bach,” turning photographs into paintings in the style of Van Gogh's Starry Night, and even writing screenplays. But are computers truly creative—or are they merely tools to be used by musicians, artists, and writers? In this book, Arthur I. Miller takes us on a tour of creativity in the age of machines. Miller, an authority on creativity, identifies the key factors essential to the creative process, from “the need for introspection” to “the ability to discover the key problem.” He talks to people on the cutting edge of artificial intelligence, encountering computers that mimic the brain and machines that have defeated champions in chess, Jeopardy!, and Go. In the central part of the book, Miller explores the riches of computer-created art, introducing us to artists and computer scientists who have, among much else, unleashed an artificial neural network to create a nightmarish, multi-eyed dog-cat; taught AI to imagine; developed a robot that paints; created algorithms for poetry; and produced the world's first computer-composed musical, Beyond the Fence, staged by Android Lloyd Webber and friends. But, Miller writes, in order to be truly creative, machines will need to step into the world. He probes the nature of consciousness and speaks to researchers trying to develop emotions and consciousness in computers. Miller argues that computers can already be as creative as humans—and someday will surpass us. But this is not a dystopian account; Miller celebrates the creative possibilities of artificial intelligence in art, music, and literature.
A human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems. One of the original goals of artificial intelligence research was to endow intelligent agents with human-level natural language capabilities. Recent AI research, however, has focused on applying statistical and machine learning approaches to big data rather than attempting to model what people do and how they do it. In this book, Marjorie McShane and Sergei Nirenburg return to the original goal of recreating human-level intelligence in a machine. They present a human-inspired, linguistically sophisticated model of language understanding for intelligent agent systems that emphasizes meaning--the deep, context-sensitive meaning that a person derives from spoken or written language.
As generative Artificial Intelligence (AI) tools become increasingly prevalent, it is crucial for educators to develop a nuanced understanding of the ethical implications associated with their use. Educators today face the critical task of navigating the pedagogical applications of AI and maximizing its potential to foster student learning. Creative AI Tools and Ethical Implications in Teaching and Learning is an insightful exploration of the ethical considerations surrounding the integration of AI in education. Educators may fear how it will rapidly transforming the educational landscape, but this book serves to support them and delves into the opportunities and challenges that arise when leveraging AI to enhance teaching and learning experiences. Creative AI Tools and Ethical Implications in Teaching and Learning goes beyond theory to offer practical strategies for integrating AI creatively into the classroom. From learning analytics and educational data mining to AI game activities and generative AI tools like ChatGPT, this book equips educators with the knowledge and resources to adapt AI technologies to support teaching and learning effectively. Moreover, the book explores the vital connection between AI and student assessment, highlighting how AI can enhance the evaluation process while maintaining fairness and objectivity. It concludes with an insightful glimpse into the future of AI in education, envisioning the transformative possibilities that lie ahead. This comprehensive guide provides educators, researchers, and policymakers with the tools they need to navigate the complexities of AI in education.
Autobiographical essays, framed by two interpretive essays by the editor, describe the power of an object to evoke emotion and provoke thought: reflections on a cello, a laptop computer, a 1964 Ford Falcon, an apple, a mummy in a museum, and other "things-to-think-with." For Sherry Turkle, "We think with the objects we love; we love the objects we think with." In Evocative Objects, Turkle collects writings by scientists, humanists, artists, and designers that trace the power of everyday things. These essays reveal objects as emotional and intellectual companions that anchor memory, sustain relationships, and provoke new ideas.These days, scholars show new interest in the importance of the concrete. This volume's special contribution is its focus on everyday riches: the simplest of objects—an apple, a datebook, a laptop computer—are shown to bring philosophy down to earth. The poet contends, "No ideas but in things." The notion of evocative objects goes further: objects carry both ideas and passions. In our relations to things, thought and feeling are inseparable. Whether it's a student's beloved 1964 Ford Falcon (left behind for a station wagon and motherhood), or a cello that inspires a meditation on fatherhood, the intimate objects in this collection are used to reflect on larger themes—the role of objects in design and play, discipline and desire, history and exchange, mourning and memory, transition and passage, meditation and new vision.In the interest of enriching these connections, Turkle pairs each autobiographical essay with a text from philosophy, history, literature, or theory, creating juxtapositions at once playful and profound. So we have Howard Gardner's keyboards and Lev Vygotsky's hobbyhorses; William Mitchell's Melbourne train and Roland Barthes' pleasures of text; Joseph Cevetello's glucometer and Donna Haraway's cyborgs. Each essay is framed by images that are themselves evocative. Essays by Turkle begin and end the collection, inviting us to look more closely at the everyday objects of our lives, the familiar objects that drive our routines, hold our affections, and open out our world in unexpected ways.
We are entering a new era of technological determinism and solutionism in which governments and business actors are seeking data-driven change, assuming that Artificial Intelligence is now inevitable and ubiquitous. But we have not even started asking the right questions, let alone developed an understanding of the consequences. Urgently needed is debate that asks and answers fundamental questions about power. This book brings together critical interrogations of what constitutes AI, its impact and its inequalities in order to offer an analysis of what it means for AI to deliver benefits for everyone. The book is structured in three parts: Part 1, AI: Humans vs. Machines, presents critical perspectives on human-machine dualism. Part 2, Discourses and Myths About AI, excavates metaphors and policies to ask normative questions about what is ‘desirable’ AI and what conditions make this possible. Part 3, AI Power and Inequalities, discusses how the implementation of AI creates important challenges that urgently need to be addressed. Bringing together scholars from diverse disciplinary backgrounds and regional contexts, this book offers a vital intervention on one of the most hyped concepts of our times.
Generative AI in Teaching and Learning delves into the revolutionary field of generative artificial intelligence and its impact on education. This comprehensive guide explores the multifaceted applications of generative AI in both formal and informal learning environments, shedding light on the ethical considerations and immense opportunities that arise from its implementation. From the early approaches of utilizing generative AI in teaching to its integration into various facets of learning, this book offers a profound analysis of its potential. Teachers, researchers, instructional designers, developers, data analysts, programmers, and learners alike will find valuable insights into harnessing the power of generative AI for educational purposes.
How do artistic experiments with artificial intelligence problematize human-centered notions of creative agency, authorship, and ownership? Offering a wide-ranging discussion of contemporary digital art practices, philosophical and technical considerations of AI, posthumanist thought, and emerging issues of intellectual property and the commons, this book is firmly positioned against the anthropomorphic spectacle of "creative AI." It proposes instead the concept of the posthumanist agential assemblage, and invites readers to consider what new types of creative practice, what reconfigurations of the author function, and what critical interventions become possible when AI art provokes tactical entanglements between aesthetics, law, and capital.
What does AI know about love, happiness and making a difference? Aum Golly is a book of poems written in 24 hours. It was made possible by GPT-3 - an advanced autoregressive language model published in 2020 by OpenAI. "... a collection that surprises with humor and delicateness..." - Goodreads review "... I have to say reading it was a pleasure..." - Finnish radio host Ruben Stiller on Yle "... a beautiful dialogue between man and machine..." - a review of the Finnish audiobook The deep learning model can generate text that is virtually indistinguishable from text written by humans: poems, recipes, summaries, legal text and even pieces of code. GPT-3 is autofill on steroids. Good poetry makes us feel something and see the world differently. Despite the gut reaction some of us may have towards AI-enhanced creativity, Aum Golly is a book like any other. You will love some of the poems. You will hate others. Some will make you wonder, but all of them will make you think. Award-winning writer and TEDx speaker Jukka Aalho has guided the AI and chosen the poems for the collection.