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This open access book aims to set an agenda for research and action in the field of Digital Humanism through short essays written by selected thinkers from a variety of disciplines, including computer science, philosophy, education, law, economics, history, anthropology, political science, and sociology. This initiative emerged from the Vienna Manifesto on Digital Humanism and the associated lecture series. Digital Humanism deals with the complex relationships between people and machines in digital times. It acknowledges the potential of information technology. At the same time, it points to societal threats such as privacy violations and ethical concerns around artificial intelligence, automation and loss of jobs, ongoing monopolization on the Web, and sovereignty. Digital Humanism aims to address these topics with a sense of urgency but with a constructive mindset. The book argues for a Digital Humanism that analyses and, most importantly, influences the complex interplay of technology and humankind toward a better society and life while fully respecting universal human rights. It is a call to shaping technologies in accordance with human values and needs.
"Humans may not be Earth's most intelligent beings for much longer: the world champions of chess, Go, and Jeopardy! are now all AIs. Given the rapid pace of progress in AI, many predict that it could advance to human-level intelligence within the next several decades. From there, it could quickly outpace human intelligence. What do these developments mean for the future of the mind? In Artificial You, Susan Schneider says that it is inevitable that AI will take intelligence in new directions, but urges that it is up to us to carve out a sensible path forward. As AI technology turns inward, reshaping the brain, as well as outward, potentially creating machine minds, it is crucial to beware. Homo sapiens, as mind designers, will be playing with "tools" they do not understand how to use: the self, the mind, and consciousness. Schneider argues that an insufficient grasp of the nature of these entities could undermine the use of AI and brain enhancement technology, bringing about the demise or suffering of conscious beings. To flourish, we must grasp the philosophical issues lying beneath the algorithms. At the heart of her exploration is a sober-minded discussion of what AI can truly achieve: Can robots really be conscious? Can we merge with AI, as tech leaders like Elon Musk and Ray Kurzweil suggest? Is the mind just a program? Examining these thorny issues, Schneider proposes ways we can test for machine consciousness, questions whether consciousness is an unavoidable byproduct of sophisticated intelligence, and considers the overall dangers of creating machine minds."--Provided by publisher.
This book deals with the major philosophical issues in the theoretical framework of Artificial Intelligence (AI) in particular and cognitive science in general. The researchers in AI are concerned with the issues of consciousness, human subjectivity, creativity, etc. Cognitive Science and AI argue that consciousness can be artificially created and comprehended in the function of robots. The robotic activities explain the mechanism involved in computation, language processing, sensing the information, etc. Contrary to this thesis, the philosophical study tries to show that human consciousness, thinking, imagination, etc. are much larger concepts and need to be delved into in the broad theoretical framework. This book is a critique of the mechanistic theory of mind. It shows the basic foundation of AI and its limitations in explaining the activities of the human mental life. Machine-functionalism fails to account for the subjective nature of consciousness and the creativity involved in the conscious acts. There are two aspects of this thesis-- the epistemological and the metaphysical. Epistemologically, the subject of consciousness intimately knows the raw feelings or the qualia. Metaphysically speaking, however, the raw feelings are real in the sense that they are part of the furniture of the mental world. Therefore, we can hardly deny that the mental world is real.
This book provides a revolutionarily new concentric sphere model of both human and artificial intelligence. It is intended to dramatically improve understanding and framing of reality and thereby to increase our happiness through effectiveness at getting what we want out of life. No sphere is necessarily more important than another, rather what's important is the fact that we must focus on one and then another and still another, depending upon the urgency of the changing situation in any given sphere. It includes a new model of our mind, reality and AI. Based on diligent research, great effort has been made to stick only to the provable. So, to the largest extent possible this is a true elucidation of the realities of our existence. I am hopeful that it will improve the quality of our life experience and help prevent calamity and destruction. I also attempt to prepare for scenarios that we cannot control due to natural events. In addition, I hope to provide better understanding of human intelligence, artificial intelligence and the different aspects of our shared reality. Hopefully this will also provide a model that will improve the mental health of our world, our families and friends and especially those who suffer from delusion, PTSD, anxiety disorders and other maladies that proper framing and understanding of human intelligence (HI) as well as artificial intelligence (AI) may facilitate.The sphere approach brings a clear focus to the fact that it is not sufficient to "do the ostrich" and focus only on our business, or our family and friends and build our world only in that sphere, while we act like other spheres of reality are not important to our survival, because they are. Awareness of reality is vital to happiness, to mitigating risk and to achieving objectives. Can an artificial intelligence (AI) make intelligent decisions without an accurate awareness of the problem it is solving? No, and the same is true of human intelligence (HI). Even our techniques themselves for dealing with reality are learned by awareness along with creative thought. So, it is important to stay plugged in to all the spheres of life and what I offer you is a first attempt to preliminarily define them.What is this book's purpose?1)To help people cope with reality.2)To present a new sphere-based view of reality that encompasses all intelligences to help us to effectively achieve in each sphere of our reality.3)To demonstrate the parallels between artificial intelligence (AI) and human intelligence (HI) to help intelligences to understand themselves and AI and thereby to be more effective achievers and mitigators of risk.4)To provide a model for reality that enables intelligences to recognize and filter out delusion, to accurately perceive reality.Who is this book's audience?1)All HI interested in AI2)All AI interested in HI3)People seeking to understand our reality.4)All who seek to understand the human mind.5)Intelligences, including people that seek to be effective in accomplishing their objectives.
A playful, profound book that is not only a testament to one man's efforts to be deemed more human than a computer, but also a rollicking exploration of what it means to be human in the first place. “Terrific. ... Art and science meet an engaged mind and the friction produces real fire.” —The New Yorker Each year, the AI community convenes to administer the famous (and famously controversial) Turing test, pitting sophisticated software programs against humans to determine if a computer can “think.” The machine that most often fools the judges wins the Most Human Computer Award. But there is also a prize, strange and intriguing, for the “Most Human Human.” Brian Christian—a young poet with degrees in computer science and philosophy—was chosen to participate in a recent competition. This
Unveiling the Mystery of Consciousness: A Journey into Artificial Intelligence Are machines on the verge of becoming conscious? Explore the exciting and thought-provoking world of Artificial Consciousness (AC) with this comprehensive guide. Demystify the concept of consciousness itself, delve into the ethical considerations of creating sentient AI, and discover the potential impact of conscious machines on society. Unraveling the Fabric of the Mind: Embark on a philosophical journey to understand the nature of consciousness. Explore the biological basis of consciousness through the lens of neuroscience. Learn about the Neural Correlates of Consciousness (NCCs) and the ongoing quest to unlock the brain's secrets. The Landscape of Artificial Intelligence: Discover the various approaches to machine intelligence, including machine learning and deep learning. Examine the limitations of current AI and the challenges of replicating human consciousness in machines. Explore alternative pathways to AC, such as Artificial General Intelligence (AGI) and embodied AI. Navigating the Ethical Labyrinth: Grapple with the profound ethical questions surrounding AC, such as the rights of conscious machines and the potential risks of superintelligence. Learn about the importance of developing ethical frameworks for responsible AI development and deployment. Consider the potential societal impact of AC, from job displacement to the redefinition of what it means to be human. A Glimpse into the Future: Imagine a world transformed by conscious machines, where AI companions enhance our lives and human-machine collaboration unlocks new possibilities. Explore the potential for a future of shared prosperity and mutual learning between humans and CAIs. Consider the ethical considerations and challenges that lie ahead in navigating a world interwoven with conscious machines. This book offers a captivating exploration of artificial consciousness, providing readers with: A comprehensive understanding of the scientific, philosophical, and ethical dimensions of AC. Insights from leading experts in neuroscience, AI, and philosophy. A thought-provoking analysis of the potential future of humanity in the age of conscious machines. Whether you're a tech enthusiast, a philosopher pondering the nature of sentience, or simply curious about the future, this book is your roadmap to unlocking the mysteries of artificial consciousness.
Throughout human history, our pursuit of innovation and discovery has never ceased. With each passing generation, we build upon the works of those before us, striving to understand more about ourselves and the universe. In recent times, we have created machines that extraordinarily mirror human intelligence. As you read "From Code to Consciousness," you'll enter a realm where science meets philosophy, technology embraces humanity, and the lines between biological life and artificial intelligence begin to blur. This exploration delves into one of the most profound questions of our age: What does it mean for a machine to be conscious? It all begins with code, a set of programming instructions that enable computers to perform tasks, solve problems, and execute commands. Code has evolved from simple calculations to sophisticated algorithms that can mimic human thought patterns. But where does consciousness fit in? Consciousness is something deeply human, an internal experience that defies easy definition. It's our awareness of ourselves and the world around us. Can a machine possess this spark? Can code evolve into consciousness? To delve into these questions, we must explore various fields, from artificial intelligence and machine learning to neuroscience and ethics. As we create machines that can potentially feel, we are holding a mirror to our nature and asking what it means to be human in an age of intelligent machines. This book bridges two worlds, a nexus where science and philosophy intermingle, where the technical meets the existential. It invites you to ponder the profound, question the status quo, and imagine a future where the boundary between humans and machines is a gateway to new possibilities. "From Code to Consciousness" is your guide and companion in an incredible journey from the tangible to the mysterious. It challenges your thoughts, ignites your curiosity, and inspires you to see technology, humanity, and consciousness in a new light.
This book will present a complete modeling of the human psychic system that allows to generate the thoughts in a strictly organizational approach that mixes a rising and falling approach. The model will present the architecture of the psychic system that can generate sensations and thoughts, showing how one can feel thoughts. The model developed into an organizational architecture based on massive multiagent systems. The architecture will be fully developed, showing how an artificial system can be endowed with consciousness and intentionally generate thoughts and, especially, feel them. These results are multidisciplinary, combining both psychology and computer science disciplines.
“Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own.