Art Ai And Culture

Art, AI and Culture interrogates the aesthetic heritage of Modernism as it informs contemporary cultural applications of AI which demonstrate there is no escape from the kaleidoscopic lineage of colonialism where the status of "human" and all the rights that entails were withheld from the colonized in general, and from slaves, labor, and women specifically. This analysis theorizes the social identity threat posed by AI's challenges to existing social, cultural, political, and economic orders. Digital technology is not exempt from this historical lineage that transforms familiar questions of economic displacement caused by machine learning and digital automation into new battles in an on-going conflict over social status and position. This cultural approach to AI reveals the ways that it transforms expressions of identity, leisure and luxury into opportunities for profit extraction. Social phenomena, (including racism, sexism, and nationalism), capture individuals in a web of systemic control where digital automation provides a mechanism preserving the existing hierarchies and social status that it might otherwise challenge. Drawing on a reconception of capitalism as a proxy for social status and position, this study critiques of the fantasy that replacing all human labor will create a fully automated luxury utopia without bias, oppression, or social change. With full color images.

Multidisciplinary explorations of AI and its implications for art In this multidisciplinary volume, European ARTificial Intelligence Lab, in partnership with Ars Electronica, considers the incredibly rapid development of Artificial Intelligence in the context of the cyber-arts. Bringing together 13 cultural and six scientific institutions from across Europe, this publication explores the interdisciplinary exchange between art and science and summarizes the accomplishments of the AI Lab since its opening. This guide to the events and exhibitions for this project includes more than 500 reproductions, profiles on featured exhibitors and essays. In keeping with the project's focus on the interplay between art and technology, the book includes QR codes which link the reader to video lectures and other supplementary materials. Artists and researchers include: Eva Smrekar, Eduardo Reck Miranda, Ian Gouldstone, Aarati Akkapeddi, Cecilie Waagner Falkenstrøm, Tega Brain, Sam Lavigne, Hannah Jayanti, Sarah Petkus, Mark J. Koch, Mimi Onuoha, Caroline Sinders, LaJuné McMillian, Victoria Vesna and many more.

In AI Art, Joanna Zylinska cuts through the smoke and mirrors surrounding the current narratives of computation, robotics and Artificial Intelligence. Offering a critique of the political underpinnings of AI and its dominant aesthetics, this book raises broader questions about the conditions of art making, creativity and labour today.

AI for Arts is a book for anyone fascinated by the man–machine connection, an unstoppable evolution that is intertwining us with technology in an ever-greater degree, and where there is an increasing concern that it will be technology that comes out on top. Thus, presented here through perhaps its most esoteric form, namely art, this unfolding conundrum is brought to its apex. What is left of us humans if artificial intelligence also surpasses us when it comes to art? The articulation of an artificial intelligence art manifesto is long overdue, so hopefully this book can fill a gap that will have repercussions not only for aesthetic and philosophical considerations but possibly more so for the development of artificial intelligence.

A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data. How can we see a billion images? What analytical methods can we bring to bear on the astonishing scale of digital culture--the billions of photographs shared on social media every day, the hundreds of millions of songs created by twenty million musicians on Soundcloud, the content of four billion Pinterest boards? In Cultural Analytics, Lev Manovich presents concepts and methods for computational analysis of cultural data. Drawing on more than a decade of research and projects from his own lab, Manovich offers a gentle, nontechnical introduction to the core ideas of data analytics and discusses the ways that our society uses data and algorithms.

A powerful portrait of the greatest humanitarian emergency of our time, from the director of Human Flow In the course of making Human Flow, his epic feature documentary about the global refugee crisis, the artist Ai Weiwei and his collaborators interviewed more than 600 refugees and aid workers in twenty-three countries around the world. A handful of those interviews were included in the film. This book presents one hundred of these conversations in their entirety, providing compelling first-person stories of the lives of refugees. Speaking in their own words, refugees give voice to their experiences of migrating across borders, living in refugee camps for months or years, and struggling to rebuild their lives in unfamiliar and uncertain surroundings. They talk about the dire circumstances that drove them to migrate, whether war, famine, or persecution; the hardships they face; and their hopes and fears for the future. In the words of Atiq, an Afghan in his early twenties staying at a refugee camp in Greece, "Nobody in the world wants to leave his country. But there's no way for people to live in that place." Complete with photographs taken by Ai Weiwei while filming Human Flow, this book provides a powerful and moving account of the most urgent humanitarian crisis of our time.

A series of intellectual provocations that investigate the creative process across the human-nonhuman spectrum. Is it possible that creative artists have more in common with machines than we might think? Employing an improvisational call-and-response writing performance coauthored with an AI text generator, remix artist and scholar Mark Amerika, interrogates how his own "psychic automatism" is itself a nonhuman function strategically designed to reveal the poetic attributes of programmable worlds still unimagined. Through a series of intellectual provocations that investigate the creative process across the human-nonhuman spectrum, Amerika critically reflects on whether creativity itself is, at root, a nonhuman information behavior that emerges from an onto-operational presence experiencing an otherworldly aesthetic sensibility. Amerika engages with his cyberpunk imagination to simultaneously embrace and problematize human-machine collaborations. He draws from jazz performance, beatnik poetry, Buddhist thought, and surrealism to suggest that his own artificial creative intelligence operates as a finely tuned remix engine continuously training itself to build on the history of avant-garde art and writing. Playful and provocative, My Life as an Artificial Creative Intelligence flips the script on contemporary AI research that attempts to build systems that perform more like humans, instead self-reflexively making a very nontraditional argument about AI's impact on society and its relationship to the cosmos.

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.

Artificial intelligence (AI) involves opportunities as well as risks; human rights should be strengthened by AI, not undermined. This Recommendation on AI and human rights provides guidance on the way in which the negative impact of AI systems on human rights can be prevented or mitigated, focusing on 10 key areas of action.