Machine Hallucinations


Book Description

AI is already part of our lives even though we might not realise it. It is in our phones, filtering spam, identifying Facebook friends, and classifying our images on Instagram. It is in our homes in the form of Siri, Alexa and other AI assistants. It is in our cars and our planes. AI is literally everywhere. Artworks generated by AI have won international prizes, and have been sold at auction. But what does AI mean for the world of design? This issue of AD explores the nature of AI, and considers its potential for architecture. But this is no idle speculation. Architects have already started using AI for architectural design and fabrication. Yet – astonishingly – there has been almost no debate about AI within the discipline of architecture so far. Surely, nothing can be more important for the profession of architecture right now. The issue looks at all aspects of AI: its potential to assist architects in designing buildings so that it becomes a form of ‘augmented intelligence’; its capacity to design buildings on its own; and whether AI might open up an extraordinary new chapter in architectural design. Contributors: Refik Anadol; Daniel Bolojan; Alexa Carlson; Sofia Crespo and Feileacan McCormick; Gabriel Esquivel, Jean Jaminet and Shane Bugni; Behnaz Farahi; Theodoros Galanos and Angelos Chronis; Eduard Haiman; Wanyu He; Damjan Jovanovic and Lidija Kljakovic; Immanuel Koh; Maria Kuptsova; Sandra Manninger; Lev Manovich; Achim Menges and Thomas Wortmann; Wolf dPrix, Karolin Schmidbaur and Efilena Baseta; M Casey Rehm; and Hao Zheng and Masoud Akbarzadeh. Featured architects: Alisa Andrasek, Coop Himmelb(l)au, Lifeforms.io, Nonstandardstudio,SPAN, Kyle Steinfeld, Studio Kinch and Xkool Technology.




Machine Hallucinations and AI Expectations


Book Description

"In the 21st century, the use of artificial intelligence has expanded outside of the fields ofscience and technology and into the field of the creative arts. The use of generative AI hasdivided artists since its emergence. However, artists willing to embrace new technology in theirpractice have had positive results incorporating AI technology into their work. Refik Anadol, aself-proclaimed AI and “data artist”, incorporates artificial intelligence into his large-scale AIinstallations. Anadol’s series Machine Hallucinations, uses a generative adversarial network withan adaptive discriminator and an original latent space browser program in order to transform amassive visual dataset into what the artist refers to as a “data painting”: a form of AI artwork.Using Anadol’s series as a case study, this dissertation will explore the idea of AI-generatedartwork becoming its own medium of art. The notions of creativity and originality are critical inthe discourse of AI-generated artwork. The scientific and artistic communities have differentnotions of what it means to be creative. Whether or not the artist or the machine is responsiblefor the aspect of originality in an AI-generative work relies heavily on the intention of theartwork and the agency of the author. This question of originality is further exacerbated by theinability to copyright AI-generated work in most countries due to a lack of judicial precedent onthe topic. In another manner, the perception of AI by the general public stands to also be adecisive factor in AI becoming a recognized medium of art. However, the critical issues in thediscourse of AI becoming its own medium, such as image appropriation, the reliance oncomputer technology, and the notion of creativity, bear some resemblance to the issues faced bythe mixed-media, photography, and video mediums in their emergence. This dissertation aims toaddress these critical issues that stand in the way of AI becoming a recognized medium of art." -- Prodided by the Author.




Human and Machine Consciousness


Book Description

Consciousness is widely perceived as one of the most fundamental, interesting and difficult problems of our time. However, we still know next to nothing about the relationship between consciousness and the brain and we can only speculate about the consciousness of animals and machines. Human and Machine Consciousness presents a new foundation for the scientific study of consciousness. It sets out a bold interpretation of consciousness that neutralizes the philosophical problems and explains how we can make scientific predictions about the consciousness of animals, brain-damaged patients and machines. Gamez interprets the scientific study of consciousness as a search for mathematical theories that map between measurements of consciousness and measurements of the physical world. We can use artificial intelligence to discover these theories and they could make accurate predictions about the consciousness of humans, animals and artificial systems. Human and Machine Consciousness also provides original insights into unusual conscious experiences, such as hallucinations, religious experiences and out-of-body states, and demonstrates how ‘designer’ states of consciousness could be created in the future. Gamez explains difficult concepts in a clear way that closely engages with scientific research. His punchy, concise prose is packed with vivid examples, making it suitable for the educated general reader as well as philosophers and scientists. Problems are brought to life in colourful illustrations and a helpful summary is given at the end of each chapter. The endnotes provide detailed discussions of individual points and full references to the scientific and philosophical literature.




The Experience Machine


Book Description

A brilliant new theory of the mind that upends our understanding of how the brain interacts with the world “This thoroughly readable book will convince you that the brain and the world are partners in constructing our understanding.” —Sean Carroll, New York Times bestselling author of The Biggest Ideas in the Universe: Space, Time, and Motion For as long as we’ve studied human cognition, we’ve believed that our senses give us direct access to the world. What we see is what’s really there—or so the thinking goes. But new discoveries in neuroscience and psychology have turned this assumption on its head. What if rather than perceiving reality passively, your mind actively predicts it? Widely acclaimed philosopher and cognitive scientist Andy Clark unpacks this provocative new theory that the brain is a powerful, dynamic prediction engine, mediating our experience of both body and world. From the most mundane experiences to the most sublime, reality as we know it is the complex synthesis of sensory information and expectation. Exploring its fascinating mechanics and remarkable implications for our lives, mental health, and society, Clark nimbly illustrates how the predictive brain sculpts all human experience. Chronic pain and mental illness are shown to involve subtle malfunctions of our unconscious predictions, pointing the way towards more effective, targeted treatments. Under renewed scrutiny, the very boundary between ourselves and the outside world dissolves, showing that we are as entangled with our environments as we are with our onboard memories, thoughts, and feelings. And perception itself is revealed to be something of a controlled hallucination. Unveiling the extraordinary explanatory power of the predictive brain, The Experience Machine is a mesmerizing window onto one of the most significant developments in our understanding of the mind.




Hallucinations


Book Description

Hallucinations, for most people, imply madness. But there are many different types of non-psychotic hallucination caused by various illnesses or injuries, by intoxication--even, for many people, by falling sleep. From the elementary geometrical shapes that we see when we rub our eyes to the complex swirls and blind spots and zigzags of a visual migraine, hallucination takes many forms. At a higher level, hallucinations associated with the altered states of consciousness that may come with sensory deprivation or certain brain disorders can lead to religious epiphanies or conversions. Drawing on a wealth of clinical examples from his own patients as well as historical and literary descriptions, Oliver Sacks investigates the fundamental differences and similarities of these many sorts of hallucinations, what they say about the organization and structure of our brains, how they have influenced every culture's folklore and art, and why the potential for hallucination is present in us all.




Visualizing Dynamic Systems


Book Description

This book is aimed to help instructional designers, science game designers, science faculty, lab designers, and content developers in designing interactive learning experiences using emerging technologies and cyberlearning. The proposed solutions are for undergraduate and graduate scientific communication, engineering courses, scientific research communication, and workforce training. Reviewing across the science education literature reveals various aspects of unresolved challenges or inabilities in the visualization of scientific concepts. Visuospatial thinking is the fundamental part of learning sciences; however, promoting spatial thinking has not been emphasized enough in the educational system (Hegarty, 2014). Cognitive scientists distinguish between the multiple aspects of spatial ability and stresse that various problems or disciplines require different types of spatial skills. For example, the spatial ability to visualize anatomy cross-sections is significantly associated with mental rotation skills. The same is true for physical problems that often deal with spatial representations. However, most of the physics problems are marked by dynamicity, and visualizing dynamicity is inferred by the integrations of different participating components in the system. Therefore, what is needed for learning dynamicity is visualizing the mental animation of static episodes. This book is a leap into designing framework for using mixed reality (XR) technologies and cyberlearning in communicating advanced scientific concepts. The intention is to flesh out the cognitive infrastructure and visuospatial demands of complex systems and compare them in various contexts and disciplines. The practical implementation of emerging technology can be achieved by foreseeing each XR technology’s affordances and mapping those out to the cognitive infrastructure and visuospatial demands of the content under development.




Art in the Age of Machine Learning


Book Description

An examination of machine learning art and its practice in new media art and music. Over the past decade, an artistic movement has emerged that draws on machine learning as both inspiration and medium. In this book, transdisciplinary artist-researcher Sofian Audry examines artistic practices at the intersection of machine learning and new media art, providing conceptual tools and historical perspectives for new media artists, musicians, composers, writers, curators, and theorists. Audry looks at works from a broad range of practices, including new media installation, robotic art, visual art, electronic music and sound, and electronic literature, connecting machine learning art to such earlier artistic practices as cybernetics art, artificial life art, and evolutionary art. Machine learning underlies computational systems that are biologically inspired, statistically driven, agent-based networked entities that program themselves. Audry explains the fundamental design of machine learning algorithmic structures in terms accessible to the nonspecialist while framing these technologies within larger historical and conceptual spaces. Audry debunks myths about machine learning art, including the ideas that machine learning can create art without artists and that machine learning will soon bring about superhuman intelligence and creativity. Audry considers learning procedures, describing how artists hijack the training process by playing with evaluative functions; discusses trainable machines and models, explaining how different types of machine learning systems enable different kinds of artistic practices; and reviews the role of data in machine learning art, showing how artists use data as a raw material to steer learning systems and arguing that machine learning allows for novel forms of algorithmic remixes.




The Thought Machine


Book Description

The Realm of Unthought Things, was Dr. Jenks’ goal with his Thought-Machine, but all Butch and Red and Willie wanted from it was a million bucks!




Trevor Paglen


Book Description

How machine and computer vision produces contemporary images. Although often considered to be a fault or a glitch in the system, the event of hallucination is central to the models of image production generated by artificial intelligence (AI). Through mining the latent space of computer vision, Trevor Paglen’s series Adversarially Evolved Hallucinations (2017–ongoing) reveals this phantasmal and hallucinatory domain. In the conversation included in this volume, he discusses how we can think from within these opaque structures and, in turn, questions the frequently inflated claims made on behalf of automated image-production systems. In an accompanying essay, Anthony Downey explores the uncanny realm of algorithmically induced images and proposes that AI, through its generative modeling of the world, invariably estranges us from the present and the future.




The Soft Machine


Book Description

The Soft Machine, originally published in 1985, represents a significant contribution to the study of contemporary literature in the larger cultural and scientific context. David Porush shows how the concepts of cybernetics and artificial intelligence that have sparked our present revolution in computer and information technology have also become the source for images and techniques in our most highly sophisticated literature, postmodern fiction by Barthelme, Barth, Pynchon, Beckett, Burroughs, Vonnegut and others. With considerable skill, Porush traces the growth of "the metaphor of the machine" as it evolves both technologically and in literature of the twentieth century. He describes the birth of cybernetics, gives one of the clearest accounts for a lay audience of its major concepts and shows the growth of philosophical resistance to the mechanical model for human intelligence and communication which cybernetics promotes, a model that had grown increasingly influential in the previous decade. The Soft Machine shows postmodern fiction synthesizing the inviting metaphors and concepts of cybernetics with the ideals of art, a synthesis that results in what Porush calls "cybernetic fiction" alive to the myths and images of a cybernetic age.