This book brings together history and theory in art and media to examine the effects of artificial intelligence and machine learning in culture, and reflects on the implications of delegating parts of the creative process to AI. In order to understand the complexity of authorship and originality in relation to creativity in contemporary times, Navas combines historical and theoretical premises from different areas of research in the arts, humanities, and social sciences to provide a rich historical and theoretical context that critically reflects on and questions the implications of artificial intelligence and machine learning as an integral part of creative production. As part of this, the book considers how much of postproduction and remix aesthetics in art and media preceded the current rise of metacreativity in relation to artificial intelligence and machine learning, and explores contemporary questions on aesthetics. The book also provides a thorough evaluation of the creative application of systematic approaches to art and media production, and how this in effect percolates across disciplines including art, design, communication, as well as other fields in the humanities and social sciences. An essential read for students and scholars interested in understanding the increasing role of AI and machine learning in contemporary art and media, and their wider role in creative production across culture and society.

This book brings together history and theory in art and media to examine the effects of artificial intelligence and machine learning in culture, and reflects on the implications of delegating parts of the creative process to AI. In order to understand the complexity of authorship and originality in relation to creativity in contemporary times, Navas combines historical and theoretical premises from different areas of research in the arts, humanities, and social sciences to provide a rich historical and theoretical context that critically reflects on and questions the implications of artificial intelligence and machine learning as an integral part of creative production. As part of this, the book considers how much of postproduction and remix aesthetics in art and media preceded the current rise of metacreativity in relation to artificial intelligence and machine learning, and explores contemporary questions on aesthetics. The book also provides a thorough evaluation of the creative application of systematic approaches to art and media production, and how this in effect percolates across disciplines including art, design, communication, as well as other fields in the humanities and social sciences. An essential read for students and scholars interested in understanding the increasing role of AI and machine learning in contemporary art and media, and their wider role in creative production across culture and society.

This book addresses the complex issue of human creativity in the age of Artificial Intelligence. Artificial intelligence (AI) is increasingly being used to create texts, images, and musical compositions. This increase in the application of AI within the creative industries can of course enhance human performance while producing creative and commercial challenges for human authors. Against this background, this book considers how current mechanisms for incentivising creativity – including legal regulations, such as copyright, state funding and tax regimes – are inadequate in the age of AI. Acknowledging the opportunity that AI presents, the book then proposes alternative regulatory mechanisms through which human creativity can be incentivised. This book will appeal to scholars and researchers in the areas of socio-legal studies, intellectual property law, media law, and law and technology.

What is artificial intelligence to us today? This book tackles this question from a somewhat unique perspective, that of art. The starting hypothesis is that art can provide an example of how we can engage with artificial intelligence without being subjugated by it. The Art of Artificial Intelligence: Philosophical Keywords guides the reader through a theoretical journey that begins, each time, with a particular work of art: visual artworks, but also literary texts and theatrical performances. Each chapter is anchored by a philosophical keyword: "work," "author," "time," "memory," "human." What meanings do these words take on in light of these new practices? The book is aimed at a broad audience, including anyone who feels the need to reflect on these new questions. It will also be an essential resource for students and university faculty in various disciplines, from philosophy to media studies, from art history to visual culture.

This engaging Handbook identifies and critically examines the moral opportunities and challenges typically attributed to artificial intelligence. It provides a comprehensive overview and examination of the most pressing and urgent problems with this technology by drawing on a wide range of analytical methods, traditions, and approaches.

This book gathers new empirical findings fostering advances in the areas of digital and communication design, web, multimedia and motion design, graphic design, branding, and related ones. It includes original contributions by authoritative authors based on the best papers presented at the 6th International Conference on Digital Design and Communication, Digicom 2022, together with some invited chapters written by leading international researchers. They report on innovative design strategies supporting communication in a global, digital world, and addressing, at the same time, key individual and societal needs. This book is intended to offer a timely snapshot of technologies, trends and challenges in the area of design, communication and branding, and a bridge connecting researchers and professionals of different disciplines, such as graphic design, digital communication, corporate, UI Design and UX design.

""Silicon Minds"" offers a comprehensive exploration of the AI revolution, examining its current state, ethical considerations, and potential future trajectories. The book argues that we're at a critical juncture where AI could either augment human capabilities or potentially supplant human decision-making in crucial areas. It delves into key AI concepts like machine learning and neural networks, while also exploring applications across various industries. The book's balanced approach sets it apart, acknowledging AI's tremendous potential while critically examining risks such as bias and privacy concerns. It draws on cutting-edge research, case studies, and expert interviews to support its arguments. ""Silicon Minds"" also explores the interdisciplinary nature of AI, connecting it to fields like neuroscience and philosophy, and examining its economic ramifications. Progressing from foundational concepts to current applications and future scenarios, the book provides readers with the tools to understand and engage with AI advancements. It concludes by offering practical guidance for navigating the AI revolution, making it an essential read for anyone seeking to understand the silicon-powered world emerging around us.