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Dark Machines : How Artificial Intelligence, Digitalization and Automation is Changing our Living Planet
This book offers a critical primer on how Artificial Intelligence and digitalization are shaping our planet and the risks posed to society and environmental sustainability. As the pressure of human activities accelerates on Earth, so too does the hope that digital and artificially intelligent technologies will be able to help us deal with dangerous climate and environmental change.Technology giants, international think-tanks and policy-makers are increasingly keen to advance agendas that contribute to “AI for Good” or “AI for the Planet." Dark Machines explores why it is naïve and dangerous to assume converging forces of a growing climate crisis and technological change will act synergistically to the benefit of people and the planet.It explores why AI and associated digital technologies may lead to accelerated discrimination, automated inequality, and augmented diffusion of misinformation, while simultaneously amplifying risks for people and the planet.We face a profound challenge. We can either allow AI accelerate the loss of resilience of people and our planet, or we can decide to act forcefully in ways that redirects its destructive direction. This urgent book will be of interest to students and researchers with an interest in Artificial Intelligence, digitalization and automation, social and political dimensions of science and technology, and sustainability sciences.
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Dark Machines : How Artificial Intelligence, Digitalization and Automation is Changing our Living Planet
This book offers a critical primer on how Artificial Intelligence and digitalization are shaping our planet and the risks posed to society and environmental sustainability. As the pressure of human activities accelerates on Earth, so too does the hope that digital and artificially intelligent technologies will be able to help us deal with dangerous climate and environmental change.Technology giants, international think-tanks and policy-makers are increasingly keen to advance agendas that contribute to “AI for Good” or “AI for the Planet." Dark Machines explores why it is naïve and dangerous to assume converging forces of a growing climate crisis and technological change will act synergistically to the benefit of people and the planet.It explores why AI and associated digital technologies may lead to accelerated discrimination, automated inequality, and augmented diffusion of misinformation, while simultaneously amplifying risks for people and the planet.We face a profound challenge. We can either allow AI accelerate the loss of resilience of people and our planet, or we can decide to act forcefully in ways that redirects its destructive direction. This urgent book will be of interest to students and researchers with an interest in Artificial Intelligence, digitalization and automation, social and political dimensions of science and technology, and sustainability sciences.
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Wasted Education : How We Fail Our Graduates in Science, Technology, Engineering, and Math
An urgent reality check for America’s blinkered fixation on STEM education. We live in an era of STEM obsession. Not only do tech companies dominate American enterprise and economic growth while complaining of STEM shortages, but we also need scientific solutions to impending crises.As a society, we have poured enormous resources—including billions of dollars—into cultivating young minds for well-paid STEM careers.Yet despite it all, we are facing a worker exodus, with as many as 70% of STEM graduates opting out of STEM work.Sociologist John D. Skrentny investigates why, and the answer, he shows, is simple: the failure of STEM jobs.Wasted Education reveals how STEM work drives away bright graduates as a result of “burn and churn” management practices, lack of job security, constant training for a neverending stream of new—and often socially harmful—technologies, and the exclusion of women, people of color, and older workers.Wasted Education shows that if we have any hope of improving the return on our STEM education investments, we have to change the way we’re treating the workers on whom our future depends.
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Knowing our World: An Artificial Intelligence Perspective
Knowing our World: An Artificial Intelligence Perspective considers the methodologies of science, computation, and artificial intelligence to explore how we humans come to understand and operate in our world.While humankind’s history of articulating ideas and building machines that can replicate the activity of the human brain is impressive, Professor Luger focuses on understanding the skills that enable these goals. Based on insights afforded by the challenges of AI design and program building, Knowing our World proposes a foundation for the science of epistemology.Taking an interdisciplinary perspective, the book demonstrates that AI technology offers many representational structures and reasoning strategies that support clarification of these epistemic foundations.This monograph is organized in three Parts; the first three chapters introduce the reader to the foundations of computing and the philosophical background that supportsthe AI tradition.These three chapters describe the origins of AI, programming as iterative refinement, and the representations and very high-level language tools that support AI application building. The book’s second Part introduces three of the four paradigms that represent research and development in AI over the past seventy years: the symbol-based, connectionist, and complex adaptive systems.Luger presents several introductory programs in each area and demonstrates their use. The final three chapters present the primary theme of the book: bringing together the rationalist, empiricist, and pragmatist philosophical traditions in the context of a Bayesian world view.Luger describes Bayes' theorem with a simple proof to demonstrate epistemic insights.He describes research in model building and refinement and several philosophical issues that constrain the future growth of AI.The book concludes with his proposal of the epistemic stance of an active, pragmatic, model-revising realism.
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Which programming language is used for robotics and artificial intelligence?
Python is commonly used for robotics and artificial intelligence due to its simplicity, readability, and extensive libraries for machine learning and robotics. It is also known for its flexibility and ease of integration with hardware, making it a popular choice for developing robotics and AI applications. Additionally, Python's strong community support and active development make it a suitable language for these rapidly evolving fields.
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Will artificial intelligence significantly change our society?
Yes, artificial intelligence is already beginning to significantly change our society and will continue to do so in the future. AI has the potential to revolutionize industries such as healthcare, transportation, and finance, leading to increased efficiency and productivity. However, it also raises concerns about job displacement, ethical implications, and privacy issues that will need to be addressed as AI technology advances. Overall, the impact of artificial intelligence on society will be profound and far-reaching.
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Can we create our own god using artificial intelligence?
While it is possible to create an AI system that may appear to exhibit god-like qualities, such as vast knowledge and the ability to answer complex questions, it is important to remember that AI is ultimately a product of human programming and design. AI lacks the consciousness, spirituality, and moral agency that are traditionally associated with the concept of a god. Therefore, while AI can be used to simulate certain aspects of religious belief or practice, it cannot truly create a god in the traditional sense.
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Is machine learning already artificial intelligence?
Machine learning is a subset of artificial intelligence. It involves training a machine to learn from data and make predictions or decisions without being explicitly programmed to do so. Artificial intelligence, on the other hand, encompasses a broader range of technologies and applications that enable machines to perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, and solving problems. While machine learning is an important component of artificial intelligence, AI also includes other techniques such as natural language processing, computer vision, and robotics.
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Learn Autonomous Programming with Python : Utilize Python’s capabilities in artificial intelligence, machine learning, deep learning and robotic process automation
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Intelligent Automation : Learn how to harness Artificial Intelligence to boost business & make our world more human
TESTIMONIALS:"One of the most important books of our times!" - Bernard Marr, "An essential reading for anybody who cares about the future of work" - Arianna Huffington,"This insightful and practical guidebook is instrumental for success in the Fourth Industrial Revolution" - Klaus Schwab, founder of the World Economic Forum,"An insightful exploration of Intelligent Automation" - Dr. Kai-Fu Lee, Author of NYT Bestseller "AI Superpowers","This field guide is essential reading" - Gartner,"Masterful insight, this book is more relevant than ever" - HFS,"This book needed to be written" - Forrester. ABOUT THE BOOK:This is the first reference book on Intelligent Automation (IA).Also called Hyperautomation, it is one of the most recent trends in the field of artificial intelligence.IA is a cutting-edge combination of methods and technologies, involving people, organizations, machine learning, low-code platforms, robotic process automation (RPA), and more. This book is for everyone - whether you are an experienced practitioner, new to the topic, or simply interested in what the future holds for enterprises, work, life, and society as a whole. Key content of the book:• What is Intelligent Automation (IA)?Why has the use of IA been expanding so rapidly? What are the benefits it unleashes for employees, companies, customers, and society?• How have leading organizations been able to harness the full potential of IA, at scale, and generate massive efficiency gains in the range of 20 to 60%?• How can IA save 10+ million lives per year, triple our global budget for education, eliminate hunger, help protect our planet, or increase the resilience of society to pandemics and crises?What you will get from this book:• Get the lessons learned from 100+ IA transformation successes (and failures). • Benefit from the largest publicly available library of 500+ IA use cases by industry and by business function. • Gain access to insights garnered from 200+ IA industry experts. Read more about this book: www.intelligentautomationbook.com.WHY THIS BOOK?While many books have been published on AI, machine learning, or robotics, a comprehensive reference guidebook had never yet been written on the topic of IA.Also, it seemed essential to us to work towards establishing IA as a field, with its own frameworks, use cases, methods, and critical success factors.
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Food Engineering Automation with Robotics and AI
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Artificial Intelligence and Learning Futures : Critical Narratives of Technology and Imagination in Higher Education
Artificial Intelligence and Learning Futures: Critical Narratives of Technology and Imagination in Higher Education explores the implications of artificial intelligence’s adoption in higher education and the challenges to building sustainable instead of dystopic schooling.As AI becomes integral to both pedagogy and profitability in today’s colleges and universities, a critical discourse on these systems and algorithms is urgently needed to push back against their potential to enable surveillance, control, and oppression.This book examines the development, risks, and opportunities inherent to AI in education and curriculum design, the problematic ideological assumptions of intelligence and technology, and the evidence base and ethical imagination required to responsibly implement these learning technologies in a way that ensures quality and sustainability.Leaders, administrators, and faculty as well as technologists and designers will find these provocative and accessible ideas profoundly applicable to their research, decision-making, and concerns.
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Does technology control our everyday decisions or do our decisions control technology?
Our decisions ultimately control technology. While technology may influence our choices and behaviors, it is ultimately up to us to decide how we use and interact with technology in our everyday lives. We have the power to choose when and how to use technology, and to set boundaries and limits for ourselves. It's important to be mindful of our relationship with technology and to make conscious decisions about how we integrate it into our daily routines.
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Is this our programming?
No, this is not our programming. Our programming is based on artificial intelligence technology that allows us to understand and respond to human language in a conversational manner. We are designed to assist with a wide range of tasks and provide information and support to users.
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How difficult is a study of robotics and automation?
The study of robotics and automation can be challenging due to its interdisciplinary nature, requiring knowledge in fields such as mechanical engineering, electrical engineering, computer science, and control systems. Additionally, the rapid advancements in technology and the need to stay updated with the latest developments can add to the complexity of the study. However, with dedication, problem-solving skills, and a strong foundation in mathematics and physics, students can overcome these challenges and excel in the field of robotics and automation.
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Where will artificial intelligence be used in the future and how will that affect our lives?
Artificial intelligence will be used in various industries such as healthcare, finance, transportation, and customer service. In healthcare, AI can assist in diagnosing diseases and developing personalized treatment plans. In finance, AI can improve fraud detection and risk management. In transportation, AI can enhance autonomous vehicles and traffic management. These advancements will likely lead to increased efficiency, improved decision-making, and better personalized experiences for individuals. However, there may also be concerns about job displacement and ethical considerations as AI becomes more integrated into our daily lives.
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