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“Deftly shows how a seemingly frivolous film genre can guide us in shaping tomorrow’s world.” —Seth Shostak, senior astronomer, SETI Institute Artificial intelligence, gene manipulation, cloning, and interplanetary travel are all ideas that seemed like fairy tales but a few years ago. And now their possibilities are very much here. But are we ready to handle these advances? This book, by a physicist and expert on responsible technology development, reveals how science fiction movies can help us think about and prepare for the social consequences of technologies we don’t yet have, but that are coming faster than we imagine. Films from the Future looks at twelve movies that take us on a journey through the worlds of biological and genetic manipulation, human enhancement, cyber technologies, and nanotechnology. Readers will gain a broader understanding of the complex relationship between science and society. The movies mix old and new, and the familiar and unfamiliar, to provide a unique, entertaining, and ultimately transformative take on the power of emerging technologies, and the responsibilities they come with.
Key features include Margaret Atwood’s essay ‘Are Humans Necessary?’ tracing the history of robots in literature and culture; a fictional piece written by the late cultural theorist Mark Fisher in collaboration co-curator Suzanne Livingston; xenopoet Amy Ireland and computer generated 3D poems/ ‘modules’ that pose a challenge to the limitations of human language and Demis Hassabis, co-founder of Google DeepMind, and professional Go player, Fan Hui, describe how their experience of the Alpha Go program changed their perceptions of human vs artificial intelligence.
In 1963 Stanley Kubrick declared, “Dr. Strangelove came from my desire to do something about the nuclear nightmare.” Thirty years later, he was preparing to film another story about the human impulse for self-destruction. Unfortunately, the director passed away in 1999, before his project could be fully realized. However, fellow visionary Steven Spielberg took on the venture, and A.I. Artificial Intelligence debuted in theaters two years after Kubrick’s death. While Kubrick’s concept shares similarities with the finished film, there are significant differences between his screenplay and Spielberg's production. In Kubrick’s Story, Spielberg’s Film: A.I. Artificial Intelligence, Julian Rice examines the intellectual sources and cinematic processes that expressed the extraordinary ideas of one great artist through the distinctive vision of another. A.I. is decidedly a Kubrick film in its concern for the future of the world, and it is both a Kubrick and a Spielberg film in the alienation of its central character. However, Spielberg’s alienated characters evolve through friendships, while Kubrick’s protagonists are markedly alone. Rice explores how the directors’ disparate sensibilities aligned and where they diverged. By analyzing Kubrick’s treatment and Spielberg’s finished film, Rice compares the imaginations of two gifted but very different filmmakers and draws conclusions about their unique conceptions. Kubrick’s Story, Spielberg’s Film is a fascinating look into the creative process of two of cinema’s most profound auteurs and will appeal to scholars of film as well as to fans of both directors.
A collection of science fiction tales, including the story of a robot boy who wants nothing more than to be loved by his parents.
Since the times of ancient Greece, popular culture has entertained stories of artificial humans. Our modern fears about the "otherness" of androids and human replicants have much in common with fears of the Doppelganger, a mythological harbinger of death. Throughout the twentieth century, "AI" technologies have developed at a rapid pace, bringing us face to face with these ancient fears in a modern context. Examining such films as The Day the Earth Stood Still, Forbidden Planet and Blade Runner, among others, this book charts cinema's fascination with artificial intelligence and the technological double, as well as the historical antecedents of the artificial human.
AI in the Movies analyses film representations of artificial intelligence, from their first emergence in the 1950s up to 2020. These strong or general artificial intelligences take different forms: some are digital AIs, some robot AIs, some move between material and digital forms. Some are indistinguishable from humans, and some have no material existence at all. Analysis of these representations demonstrates filmmakers eroding the division between human and AI, by presenting character doubles, narrative parallels and eventually, identities in which the biological and artificial overlap and intersect in new hybrid forms.The book identifies the aspects of AI science that fascinate filmmakers and outlines the key themes and tropes in AI film, including parent-child relationships, the female robot, human-AI doubles, parallels and hybrids, and AI death and mortality.
The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities. However, a bright future awaits those who build on their working methods by including HCAI strategies of design and testing. As many technology companies and thought leaders have argued, the goal is not to replace people, but to empower them by making design choices that give humans control over technology. In Human-Centered AI, Professor Ben Shneiderman offers an optimistic realist's guide to how artificial intelligence can be used to augment and enhance humans' lives. This project bridges the gap between ethical considerations and practical realities to offer a road map for successful, reliable systems. Digital cameras, communications services, and navigation apps are just the beginning. Shneiderman shows how future applications will support health and wellness, improve education, accelerate business, and connect people in reliable, safe, and trustworthy ways that respect human values, rights, justice, and dignity.
This book presents high-quality, peer-reviewed papers from the FICR International Conference on Rising Threats in Expert Applications and Solutions 2020, held at IIS University Jaipur, Rajasthan, India, on January 17–19, 2020. Featuring innovative ideas from researchers, academics, industry professionals and students, the book covers a variety of topics, including expert applications and artificial intelligence/machine learning; advanced web technologies, like IoT, big data, and cloud computing in expert applications; information and cybersecurity threats and solutions; multimedia applications in forensics, security and intelligence; advances in app development; management practices for expert applications; and social and ethical aspects of expert applications in applied sciences.
The first book in the Fast Future series, Beyond Genuine Stupidity: Ensuring AI Serves Humanity, explores critical emerging issues arising from the rapid pace of development in artificial intelligence (AI). The authors argue for a forward-looking and conscious approach to the development and deployment of AI to ensure that it genuinely serves humanity's best interest. Through a series of articles, they present a compelling case to get beyond the genuine stupidity of narrow, short-term and alarmist thinking and look at AI from a long-term holistic perspective. The reality is that AI will impact current sectors and jobs—and hopefully enable new ones. A smart approach requires us to think about and experiment with strategies for adopting and absorbing the impacts of AI—encompassing education systems, reskilling the workforce, unemployment and guaranteed basic incomes, robot taxes, job creation, encouraging new ventures, research and development to enable tomorrow's industries, and dealing with the mental health impacts. The book explores the potential impacts on sectors ranging from healthcare and automotive to legal and education. The implications for business itself are also examined from leadership and HR to sales and business ethics.
The learning Machin can write like Shakespeare yes it can do that but how can do the same wording the same style but create an emotional story or play can it? or humans can like that or any passed away writer can the scientists create text to text deep learning machine learning from all of his production, style, wording, pattern plot, form and his own character it easy to do that right now it is the Eternity. to be or not to be that is the problem