Artificial Intelligence In Perspective
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Author | : Bernd Carsten Stahl |
Publisher | : Springer Nature |
Total Pages | : 128 |
Release | : 2021-03-17 |
Genre | : Computers |
ISBN | : 3030699781 |
This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.
Author | : Witold Pedrycz |
Publisher | : Springer Nature |
Total Pages | : 430 |
Release | : 2021-03-26 |
Genre | : Technology & Engineering |
ISBN | : 3030649490 |
This book offers a comprehensive treatise on the recent pursuits of Artificial Intelligence (AI) – Explainable Artificial Intelligence (XAI) by casting the crucial features of interpretability and explainability in the original framework of Granular Computing. The innovative perspective established with the aid of information granules provides a high level of human centricity and transparency central to the development of AI constructs. The chapters reflect the breadth of the area and cover recent developments in the methodology, advanced algorithms and applications of XAI to visual analytics, knowledge representation, learning and interpretation. The book appeals to a broad audience including researchers and practitioners interested in gaining exposure to the rapidly growing body of knowledge in AI and intelligent systems.
Author | : J. Mark Munoz |
Publisher | : Anthem Press |
Total Pages | : 162 |
Release | : 2022-01-11 |
Genre | : Business & Economics |
ISBN | : 1785279564 |
Artificial Intelligence, or AI, is set to redefine our day-to-day activities. Many companies across the globe are engaged in doing research on the application of AI in almost each and every aspect of our life. Many companies have already integrated AI in their manufacturing, supply chain, marketing and after sales operations, but there is a lot that needs to be done to capitalize the full potential of this technology. International Perspectives on Artificial Intelligence is an attempt to put together the work done across various countries on adapting and integrating Ai not only in organizations but also at individual and social levels.
Author | : Pieter Verdegem |
Publisher | : University of Westminster Press |
Total Pages | : 310 |
Release | : 2021-09-20 |
Genre | : Computers |
ISBN | : 1914386132 |
We are entering a new era of technological determinism and solutionism in which governments and business actors are seeking data-driven change, assuming that Artificial Intelligence is now inevitable and ubiquitous. But we have not even started asking the right questions, let alone developed an understanding of the consequences. Urgently needed is debate that asks and answers fundamental questions about power. This book brings together critical interrogations of what constitutes AI, its impact and its inequalities in order to offer an analysis of what it means for AI to deliver benefits for everyone. The book is structured in three parts: Part 1, AI: Humans vs. Machines, presents critical perspectives on human-machine dualism. Part 2, Discourses and Myths About AI, excavates metaphors and policies to ask normative questions about what is ‘desirable’ AI and what conditions make this possible. Part 3, AI Power and Inequalities, discusses how the implementation of AI creates important challenges that urgently need to be addressed. Bringing together scholars from diverse disciplinary backgrounds and regional contexts, this book offers a vital intervention on one of the most hyped concepts of our times.
Author | : Daniel Gureasko Bobrow |
Publisher | : |
Total Pages | : 462 |
Release | : 1993 |
Genre | : Artificial intelligence |
ISBN | : |
Author | : Kevin P. Murphy |
Publisher | : MIT Press |
Total Pages | : 1102 |
Release | : 2012-08-24 |
Genre | : Computers |
ISBN | : 0262018020 |
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.
Author | : Steven Shwartz |
Publisher | : Greenleaf Book Group |
Total Pages | : 331 |
Release | : 2021-02-09 |
Genre | : Computers |
ISBN | : 1735424544 |
Are AI robots and computers really going to take over the world? Longtime artificial intelligence (AI) researcher and investor Steve Shwartz has grown frustrated with the fear-inducing hype around AI in popular culture and media. Yes, today’s AI systems are miracles of modern engineering, but no, humans do not have to fear robots seizing control or taking over all our jobs. In this exploration of the fascinating and ever-changing landscape of artificial intelligence, Dr. Shwartz explains how AI works in simple terms. After reading this captivating book, you will understand • the inner workings of today’s amazing AI technologies, including facial recognition, self-driving cars, machine translation, chatbots, deepfakes, and many others; • why today’s artificial intelligence technology cannot evolve into the AI of science fiction lore; • the crucial areas where we will need to adopt new laws and policies in order to counter threats to our safety and personal freedoms resulting from the use of AI. So although we don’t have to worry about evil robots rising to power and turning us into pets—and we probably never will—artificial intelligence is here to stay, and we must learn to separate fact from fiction and embrace how this amazing technology enhances our world.
Author | : Themistoklis Tzimas |
Publisher | : Springer Nature |
Total Pages | : 246 |
Release | : 2021-07-30 |
Genre | : Law |
ISBN | : 3030785858 |
This book focuses on the legal regulation, mainly from an international law perspective, of autonomous artificial intelligence systems, of their creations, as well as of the interaction of human and artificial intelligence. It examines critical questions regarding both the ontology of autonomous AI systems and the legal implications: what constitutes an autonomous AI system and what are its unique characteristics? How do they interact with humans? What would be the implications of combined artificial and human intelligence? It also explores potentially the most important questions: what are the implications of these developments for collective security –from both a state-centered and a human perspective, as well as for legal systems? Why is international law better positioned to make such determinations and to create a universal framework for this new type of legal personality? How can the matrix of obligations and rights of this new legal personality be construed and what would be the repercussions for the international community? In order to address these questions, the book discusses cognitive aspects embedded in the framework of law, offering insights based on both de lege lata and de lege ferenda perspectives.
Author | : Julian Andres Zapata-Cortes |
Publisher | : Springer Nature |
Total Pages | : 529 |
Release | : 2021-06-07 |
Genre | : Technology & Engineering |
ISBN | : 3030711153 |
This book presents different techniques and methodologies that used to help improve the decision-making process and increase the likelihood of success in sector as follows: agriculture, financial services, logistics, energy services, health and others. This book collects and consolidates innovative and high-quality research contributions regarding the implementation techniques and methodologies applied in different industrial sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields as follows: supply chain, business intelligence, e-commerce, social media and others. The book contents are useful for Ph.D., Ph.D. students, master and undergraduate students, and professional and students in industrial engineering, computer science, information systems, data analytics and others.
Author | : Marcello Pelillo |
Publisher | : MIT Press |
Total Pages | : 175 |
Release | : 2021-08-24 |
Genre | : Computers |
ISBN | : 0262542099 |
Experts from disciplines that range from computer science to philosophy consider the challenges of building AI systems that humans can trust. Artificial intelligence-based algorithms now marshal an astonishing range of our daily activities, from driving a car ("turn left in 400 yards") to making a purchase ("products recommended for you"). How can we design AI technologies that humans can trust, especially in such areas of application as law enforcement and the recruitment and hiring process? In this volume, experts from a range of disciplines discuss the ethical and social implications of the proliferation of AI systems, considering bias, transparency, and other issues. The contributors, offering perspectives from computer science, engineering, law, and philosophy, first lay out the terms of the discussion, considering the "ethical debts" of AI systems, the evolution of the AI field, and the problems of trust and trustworthiness in the context of AI. They go on to discuss specific ethical issues and present case studies of such applications as medicine and robotics, inviting us to shift the focus from the perspective of a "human-centered AI" to that of an "AI-decentered humanity." Finally, they consider the future of AI, arguing that, as we move toward a hybrid society of cohabiting humans and machines, AI technologies can become humanity's allies.