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Author: Herman Cappelen
Publisher: Oxford University Press
ISBN: 0192894722
Category : Computers
Languages : en
Pages : 184
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Book Description
This innovative and accessible study illustrates how philosophy can help us understand and improve our interactions with AI.
Author: Herman Cappelen
Publisher: Oxford University Press
ISBN: 0192894722
Category : Computers
Languages : en
Pages : 184
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Book Description
This innovative and accessible study illustrates how philosophy can help us understand and improve our interactions with AI.
Author: Herman Cappelen
Publisher:
ISBN: 9780191915604
Category : Artificial intelligence
Languages : en
Pages : 192
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Book Description
Can humans and artificial intelligences share concepts and communicate? This book shows that philosophical work on the metaphysics of meaning can help answer these questions. Herman Cappelen and Josh Dever use the externalist tradition in philosophy to create models of how AIs and humans can understand each other. In doing so, they illustrate ways in which that philosophical tradition can be improved. The questions addressed in the book are not only theoretically interesting, but the answers have pressing practical implications.
Author: Herman Cappelen
Publisher: Oxford University Press
ISBN: 0192576003
Category : Philosophy
Languages : en
Pages : 249
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Book Description
When theorizing about language, we tend to assume that speakers are cooperative, honest, helpful, and so on. This, of course, isn't remotely true of a lot of real-world language use. Bad Language is the first textbook to explore non-idealized language use, the linguistic behaviour of those who exploit language for malign purposes. Two eminent philosophers of language present a lively and accessible introduction to a wide range of topics including lies and bullshit, slurs and insults, coercion and silencing: Cappelen and Dever offer theoretical frameworks for thinking about these all too common linguistic behaviours. As the text does not assume prior training in philosophy or linguistics, it is ideal for use as part of a philosophy of language course for philosophy students or for linguistics students. Bad Language belongs to the series Contemporary Introductions to Philosophy of Language, in which each book introduces an important area of the philosophy of language, suitable for students at any level.
Author: Jon Krohn
Publisher: Addison-Wesley Professional
ISBN: 0135121728
Category : Computers
Languages : en
Pages : 725
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Book Description
"The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come." – Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep Learning Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn. World-class instructor and practitioner Jon Krohn–with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens–presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered. You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitioners Explore new tools that make deep learning models easier to build, use, and improve Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Author: Damian M. Bielicki
Publisher: Routledge
ISBN: 1000509796
Category : Law
Languages : en
Pages : 255
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Book Description
Artificial Intelligence (AI) has augmented human activities and unlocked opportunities for many sectors of the economy. It is used for data management and analysis, decision making, and many other aspects. As with most rapidly advancing technologies, law is often playing a catch up role so the study of how law interacts with AI is more critical now than ever before. This book provides a detailed qualitative exploration into regulatory aspects of AI in industry. Offering a unique focus on current practice and existing trends in a wide range of industries where AI plays an increasingly important role, the work contains legal and technical analysis performed by 15 researchers and practitioners from different institutions around the world to provide an overview of how AI is being used and regulated across a wide range of sectors, including aviation, energy, government, healthcare, legal, maritime, military, music, and others. It addresses the broad range of aspects, including privacy, liability, transparency, justice, and others, from the perspective of different jurisdictions. Including a discussion of the role of AI in industry during the Covid-19 pandemic, the chapters also offer a set of recommendations for optimal regulatory interventions. Therefore, this book will be of interest to academics, students and practitioners interested in technological and regulatory aspects of AI.
Author: Herman Cappelen
Publisher: Oxford University Press
ISBN: 0198799837
Category : Language Arts & Disciplines
Languages : en
Pages : 222
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Book Description
Reference is a central topic in the philosophy of language, linguistic semantics, and related areas of philosophy and linguistics. This textbook offers an up-to-date introduction to key debates about reference. While comprehensive in approach, it is written for students and does not assume any prior training in philosophy of language.
Author: Daniel Dennett
Publisher: BoD – Books on Demand
ISBN: 3942106981
Category : Philosophy
Languages : en
Pages : 380
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Book Description
With the release of ChatGPT, large language models (LLMs) have become a prominent topic of international public and scientific debate. The genie is out of the bottle, but does it have a mind? Can philosophical considerations help us to work out how we can live with such smart machines? In this book, distinguished philosophers explore questions such as whether these new machines are able to act, whether they are social agents, whether they have communicative skills, and if they might even become conscious. The book includes contributions from Syed AbuMusab, Constant Bonard, Stephen Butterfill, Daniel Dennett, Paula Droege, Keith Frankish, Frederic Gilbert, Ying-Tung Lin, Sven Nyholm, Joshua Rust, Eric Schwitzgebel, Henry Shevlin, Anna Strasser, Alessio Tacca, Michael Wilby, and a graphic novel by Anna and Moritz Strasser as a bonus
Author: Herman Cappelen
Publisher: Oxford University Press
ISBN: 0191047422
Category : Philosophy
Languages : en
Pages : 241
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Book Description
Context and Communication offers an introduction to a central theme in the study of language: the various ways in which what we say (or ask, or think) depends on the context of speech and thought. The period since 1970 has produced a vast literature on this topic, both by philosophers and by linguists. It is one of the areas of philosophy (and linguistics) where most progress has been made over the last few decades. This book explores some of the central data, questions, concepts, and theories of context sensitivity. It is written to be accessible to someone with no prior knowledge of the material or, indeed, any prior knowledge of philosophy, and is ideal for use as part of a philosophy of language course by students of philosophy or linguistics. Context and Communication is the first in the series Contemporary Introductions to Philosophy of Language. Each book in the series provides an introduction to an important topic in philosophy of language. Three more volumes are in preparation, on reference, the metaphysics of meaning, and conceptual analysis and philosophical methodology. These textbooks can be used as a module in a philosophy of language course, for either undergraduate or graduate students.
Author: Sharon Mistretta
Publisher: BoD – Books on Demand
ISBN: 1837697302
Category : Computers
Languages : en
Pages : 412
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Book Description
Education stakeholders are at a crossroads where teaching and learning paths intersect with technologies fueled by emerging artificial intelligence. Educators who observe the residual effects of a global pandemic are left to wonder what creative technology solutions that sustain teaching and learning amidst mutating contagions should be retained, abandoned, or re-imagined to create sustainable pedagogy practices. In this book about e-learning, invited authors analyze the impacts of overarching issues facing educators across the globe to rethink how they deliver content and assess students' learning. A global community of scholars and researchers contributed twenty chapters to examine artificial intelligence, alternative assessments, education policy, creative technology, creative lesson plans, and emerging workforce trends to foster emerging paradigms in the post-pandemic era.
Author: Bertrand Braunschweig
Publisher: Springer Nature
ISBN: 3030691284
Category : Computers
Languages : en
Pages : 278
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Book Description
We already observe the positive effects of AI in almost every field, and foresee its potential to help address our sustainable development goals and the urgent challenges for the preservation of the environment. We also perceive that the risks related to the safety, security, confidentiality, and fairness of AI systems, the threats to free will of possibly manipulative systems, as well as the impact of AI on the economy, employment, human rights, equality, diversity, inclusion, and social cohesion need to be better assessed. The development and use of AI must be guided by principles of social cohesion, environmental sustainability, resource sharing, and inclusion. It has to integrate human rights, and social, cultural, and ethical values of democracy. It requires continued education and training as well as continual assessment of its effects through social deliberation. The “Reflections on AI for Humanity” proposed in this book develop the following issues and sketch approaches for addressing them: How can we ensure the security requirements of critical applications and the safety and confidentiality of data communication and processing? What techniques and regulations for the validation, certification, and audit of AI tools are needed to develop confidence in AI? How can we identify and overcome biases in algorithms? How do we design systems that respect essential human values, ensuring moral equality and inclusion? What kinds of governance mechanisms are needed for personal data, metadata, and aggregated data at various levels? What are the effects of AI and automation on the transformation and social division of labor? What are the impacts on economic structures? What proactive and accommodation measures will be required? How will people benefit from decision support systems and personal digital assistants without the risk of manipulation? How do we design transparent and intelligible procedures and ensure that their functions reflect our values and criteria? How can we anticipate failure and restore human control over an AI system when it operates outside its intended scope? How can we devote a substantial part of our research and development resources to the major challenges of our time such as climate, environment, health, and education?
