Who's Afraid of AI?: Fear and Promise in the Age of Thinking Machines PDF Download
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Author: Thomas Ramge
Publisher: The Experiment, LLC
ISBN: 1615195513
Category : Technology & Engineering
Languages : en
Pages : 116
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Book Description
A penetrating guide to artificial intelligence: what it is, what it does, and how it will change our lives At a breathtaking pace, artificial intelligence is getting better and faster at making complex decisions. AI can already identify malignant tumors on CT scans, give legal advice, out-bluff the best poker players in the world, and, with ever-increasing skill, drive our cars. In Who’s Afraid of AI?, award-winning author Thomas Ramge expertly explains how machines are learning to learn, and he questions what today’s explosion of AI capability could mean for tomorrow: Is it ethical to allow robots—endlessly patient—to replace human caregivers in providing comfort and companionship to the elderly? Since AI feeds on big data, can we prevent its misuse by corporations or the government? Will AI ever be capable of runaway self-improvement? And if “the singularity” does arrive, with AI’s intelligence exponentially outpacing our own, what will become of us when, in many ways, we’re obsolete?
Author: Thomas Ramge
Publisher: The Experiment, LLC
ISBN: 1615195513
Category : Technology & Engineering
Languages : en
Pages : 116
Get Book Here
Book Description
A penetrating guide to artificial intelligence: what it is, what it does, and how it will change our lives At a breathtaking pace, artificial intelligence is getting better and faster at making complex decisions. AI can already identify malignant tumors on CT scans, give legal advice, out-bluff the best poker players in the world, and, with ever-increasing skill, drive our cars. In Who’s Afraid of AI?, award-winning author Thomas Ramge expertly explains how machines are learning to learn, and he questions what today’s explosion of AI capability could mean for tomorrow: Is it ethical to allow robots—endlessly patient—to replace human caregivers in providing comfort and companionship to the elderly? Since AI feeds on big data, can we prevent its misuse by corporations or the government? Will AI ever be capable of runaway self-improvement? And if “the singularity” does arrive, with AI’s intelligence exponentially outpacing our own, what will become of us when, in many ways, we’re obsolete?
Author: Aleksandra Przegalinska
Publisher: CRC Press
ISBN: 1040031080
Category : Technology & Engineering
Languages : en
Pages : 169
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Book Description
This groundbreaking book explores the power of collaborative AI in amplifying human creativity and expertise. Written by two seasoned experts in data analytics, AI, and machine learning, the book offers a comprehensive overview of the creative process behind AI-powered content generation. It takes the reader through a unique collaborative process between human authors and various AI-based topic experts, created, prompted, and fine-tuned by the authors. This book features a comprehensive list of prompts that readers can use to create their own ChatGPT-powered topic experts. By following these expertly crafted prompts, individuals and businesses alike can harness the power of AI, tailoring it to their specific needs and fostering a fruitful collaboration between humans and machines. With real-world use cases and deep insights into the foundations of generative AI, the book showcases how humans and machines can work together to achieve better business outcomes and tackle complex challenges. Social and ethical implications of collaborative AI are covered and how it may impact the future of work and employment. Through reading the book, readers will gain a deep understanding of the latest advancements in AI and how they can shape our world. Converging Minds: The Creative Potential of Collaborative AI is essential reading for anyone interested in the transformative potential of AI-powered content generation and human-AI collaboration. It will appeal to data scientists, machine learning architects, prompt engineers, general computer scientists, and engineers in the fields of generative AI and deep learning. Chapter 1 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons [Attribution- No Derivatives (CC-BY -ND)] 4.0 license.
Author: B. Beaula
Publisher: Shanlax Publications
ISBN: 8119337042
Category : Business & Economics
Languages : en
Pages : 260
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Book Description
This book discuss the following potential trends and innovations that could shape the future of HRM: Data-Driven Decision Making: The use of data analytics and artificial intelligence in HRM is expected to continue growing. Remote Work and Hybrid Models: The COVID-19 pandemic accelerated the adoption of remote work. Skills Development and Lifelong Learning: Continuous learning and upskilling are becoming essential due to the rapid pace of technological advancements. Artificial Intelligence (AI) in Recruitment: AI can streamline and improve the recruitment process by automating tasks like resume screening, candidate sourcing, and initial interviews. Gig Economy and Contingent Workforce Management: As the gig economy expands, HRM will need to adapt to manage both traditional employees and contingent workers effectively, ensuring fairness and compliance. Diversity, Equity, and Inclusion (DEI): DEI initiatives are gaining prominence as organizations recognize the importance of creating inclusive workplaces. Employee Experience (EX): HRM is shifting towards focusing on enhancing the overall employee experience.
Author: Jörg Dräger
Publisher: Verlag Bertelsmann Stiftung
ISBN: 3867938857
Category : Political Science
Languages : en
Pages : 249
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Book Description
Defeat cancer before it develops. Prevent crime before it happens. Get the perfect job without having to know the right people. Algorithms turn long-wished-for dreams into reality. At the same time, they can weaken solidarity in healthcare systems, lead to discriminatory court judgements and exclude individuals from the labor market. Algorithms are already deeply determining our lives. This book uses illuminating examples to describe the opportunities and risks machine-based decision-making presents for each of us. It also offers specific suggestions for ensuring artificial intelligence serves society as it should.
Author: Herta Nagl-Docekal
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110770210
Category : Philosophy
Languages : en
Pages : 335
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Book Description
Seit 2014 erscheinen die Bände der renommierten Wiener Reihe bei De Gruyter. Das äußere Layout der Bände wurde modernisiert, inhaltlich und personell jedoch ist das Profil der seit mehr als zwei Jahrzehnten erscheinenden Buchreihe von Kontinuität geprägt. Die Bände sind jeweils einer aktuellen philosophischen Fragestellung gewidmet. Eine internationale Autorenschaft und die Veröffentlichung fremdsprachiger Beiträge sind Elemente des Programms. Die Reihe will dazu beitragen, dogmatische Abgrenzungen zwischen philosophischen Schulen und Traditionen abzubauen.
Author: Sebastià Xambó-Descamps
Publisher: Springer Nature
ISBN: 3030744868
Category : Mathematics
Languages : en
Pages : 179
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Book Description
The intention of this collection agrees with the purposes of the homonymous mini-symposium (MS) at ICIAM-2019, which were to overview the essentials of geometric calculus (GC) formalism, to report on state-of-the-art applications showcasing its advantages and to explore the bearing of GC in novel approaches to deep learning. The first three contributions, which correspond to lectures at the MS, offer perspectives on recent advances in the application GC in the areas of robotics, molecular geometry, and medical imaging. The next three, especially invited, hone the expressiveness of GC in orientation measurements under different metrics, the treatment of contact elements, and the investigation of efficient computational methodologies. The last two, which also correspond to lectures at the MS, deal with two aspects of deep learning: a presentation of a concrete quaternionic convolutional neural network layer for image classification that features contrast invariance and a general overview of automatic learning aimed at steering the development of neural networks whose units process elements of a suitable algebra, such as a geometric algebra. The book fits, broadly speaking, within the realm of mathematical engineering, and consequently, it is intended for a wide spectrum of research profiles. In particular, it should bring inspiration and guidance to those looking for materials and problems that bridge GC with applications of great current interest, including the auspicious field of GC-based deep neural networks.
Author: Viktor Mayer-Schönberger
Publisher: Univ of California Press
ISBN: 0520387732
Category : Business & Economics
Languages : en
Pages : 219
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Book Description
The power of information -- Data alchemy -- Schumpeter's nightmare -- Data capitalism -- Might and machines -- Access rules -- Open data reloaded -- The end of data colonialism.
Author: Thomas Ramge
Publisher: MIT Press
ISBN: 0262376261
Category : Political Science
Languages : en
Pages : 289
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Book Description
A new and coherent framework for fostering the breakthrough innovations that we urgently need to confront our collective future. We live in less innovative times than we think. Despite having made major technological advancements in a few areas, we are still left with enormous unsolved challenges. A radical shift in the culture of innovation is needed. On the Brink of Utopia, by authors Thomas Ramge and Rafael Laguna de la Vera, and with a foreword written by Nobel Laureate Stefan Hell, offers just that—a new and coherent framework for fostering breakthrough innovations for human progress. In their “Innovation Leap Paradigm,” they present seven steps in seven chapters and answer three simple questions: What great challenges need to be tackled? Who makes tech leaps? And finally, what political, economic, and cultural environments foster radical innovation? The authors sketch out a future in which technology will solve real problems, anywhere from climate change and hunger to obesity and menstrual pain. They envision a future in which biotechnologists work from a platform that enables them to develop effective drugs within months for any emerging virus, where green energy will be too cheap to meter and aerial carbon can be transmuted into a valuable commodity at scale. Offering a new perspective on innovation that centers not just American readers but also readers from all over the world, On the Brink of Utopia is a hopeful and visionary book that reimagines the roles of innovators, citizens, governments, and financial markets to foster innovation leaps that maximize the well-being of the greatest number of people.
Author: Amir Husain
Publisher: Simon and Schuster
ISBN: 1501144677
Category : Computers
Languages : en
Pages : 224
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Book Description
Explores universal questions about humanity's capacity for living and thriving in the coming age of sentient machines and AI, examining debates from opposing perspectives while discussing emerging intellectual diversity and its potential role in enabling a positive life.
Author: Melanie Mitchell
Publisher: Farrar, Straus and Giroux
ISBN: 0374715238
Category : Computers
Languages : en
Pages : 336
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Book Description
Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.
