Legal and Ethical Challenges of Artificial Intelligence from an International Law Perspective, Tzimas
Автор: Peter Norvig Название: Paradigms of Artificial Intelligence Programming, ISBN: 1558601910 ISBN-13(EAN): 9781558601918 Издательство: Elsevier Science Рейтинг: Цена: 63990.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Paradigms of AI Programming teaches advanced Common Lisp techniques in the context of building major AI systems.
Автор: Martin Ebers, Paloma Kroot Tupay Название: Artificial Intelligence and Machine Learning Powered Public Service Delivery in Estonia ISBN: 303119666X ISBN-13(EAN): 9783031196669 Издательство: Springer Рейтинг: Цена: 60550.00 T Наличие на складе: Поставка под заказ. Описание: This book gives a comprehensive overview of the state of Artificial Intelligence (AI), especially machine learning (ML) applications in public service delivery in Estonia, discussing the manifold ethical and legal issues that arise under both European and Estonian law. Final conclusions and recommendations set out and analyze various policy options for the public sector, taking into account recent developments at the European level – such as the AIA proposal – as well as the experience of countries that have issued principles and guidelines or even laws for the use of ML in the public sector. “For two reasons, this study is relevant not only for an audience which is interested in Estonian administrative law. First, the authors base their legal analysis primarily on EU law and provide a state of the art-analysis of the relevant secondary legislation. This makes the book a reference text for the European debate on public sector AI governance. Second, this study is part of a larger research project in which four specific use cases of public sector AI have been developed and tested. The practical insights gained in these projects have provided the authors with an excellent understanding of the opportunities and risks of the technology, which distinguishes this legal analysis from similar enterprises.” Excerpt from the foreword by Professor Thomas Wischmeyer (University of Bielefeld)
Автор: Ireni-Saban Liza, Sherman Maya Название: Ethical Governance of Artificial Intelligence in the Public Sector ISBN: 0367618087 ISBN-13(EAN): 9780367618087 Издательство: Taylor&Francis Рейтинг: Цена: 53070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book argues that ethical evaluation of AI should be an integral part of public service ethics and that an effective normative framework is needed to provide ethical principles and evaluation for decision-making in the public sphere, at both local and international levels.
Автор: Edited by Larry A. DiMatteo , Andr? Janssen , Piet Название: The Cambridge Handbook of Lawyering in the Digital Age ISBN: 1108837468 ISBN-13(EAN): 9781108837460 Издательство: Cambridge Academ Рейтинг: Цена: 221760.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book gives legal practitioners, academics, and law students a comprehensive look at the main impacts of artificial intelligence use in legal practice. Contributors identify the main challenges surrounding a legally compliant and ethical development of AI and craft a framework for analyzing the costs and benefits of new technology.
Автор: Ebers Martin, Cantero Gamito Marta Название: Algorithmic Governance and Governance of Algorithms: Legal and Ethical Challenges ISBN: 3030505618 ISBN-13(EAN): 9783030505615 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Algorithms are now widely employed to make decisions that have increasingly far-reaching impacts on individuals and society as a whole ("algorithmic governance"), which could potentially lead to manipulation, biases, censorship, social discrimination, violations of privacy, property rights, and more.
The monographic volume addresses, in a systematic and comprehensive way, the state-of-the-art dependability (reliability, availability, risk and safety, security) of systems, using the Artificial Intelligence framework of Probabilistic Graphical Models (PGM). After a survey about the main concepts and methodologies adopted in dependability analysis, the book discusses the main features of PGM formalisms (like Bayesian and Decision Networks) and the advantages, both in terms of modeling and analysis, with respect to classical formalisms and model languages.
Methodologies for deriving PGMs from standard dependability formalisms will be introduced, by pointing out tools able to support such a process. Several case studies will be presented and analyzed to support the suitability of the use of PGMs in the study of dependable systems.
Автор: Andrew Ortony; Jon Slack; Oliviero Stock Название: Communication from an Artificial Intelligence Perspective ISBN: 3540558810 ISBN-13(EAN): 9783540558811 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses the question of how current computational approaches to communication can accommodate the complexities of human-human and human-machine communication. It is based on a NATO workshop.
Автор: Hans W. Guesgen; Joachim Hertzberg Название: A Perspective of Constraint-Based Reasoning ISBN: 3540555102 ISBN-13(EAN): 9783540555100 Издательство: Springer Рейтинг: Цена: 32600.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Examining constraint satisfaction, this monograph presents all approaches under a common, generalizing view: dynamic constraints. It aims to provide insights about the different approaches, and to form a practical basis for teaching constraint-based reasoning.
Автор: Max Bramer Название: Artificial Intelligence. An International Perspective ISBN: 3642032257 ISBN-13(EAN): 9783642032257 Издательство: Springer Рейтинг: Цена: 67970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Featuring the viewpoint of expert members of the IFIP Technical Committee 12, its Working Groups and their colleagues, this book provides an international perspective on recent and future directions in this significant field.
Автор: Krzysztof R. Apt; Victor W. Marek; Mirek Truszczyn Название: The Logic Programming Paradigm ISBN: 3642642497 ISBN-13(EAN): 9783642642494 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: They address such diverse topics as: computational molecular biology, machine learning, mobile computing, multi-agent systems, planning, numerical computing and dynamical systems, database systems, an alternative to the "formulas as types" approach, program semantics and analysis, and natural language processing.
Автор: Mausam, Andrey Kolobov Название: Planning with Markov Decision Processes: An AI Perspective ISBN: 1608458865 ISBN-13(EAN): 9781608458868 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 46200.00 T Наличие на складе: Невозможна поставка. Описание: Provides a concise introduction to the use of Markov Decision Processes for solving probabilistic planning problems, with an emphasis on the algorithmic perspective. It covers the whole spectrum of the field, from the basics to state-of-the-art optimal and approximation algorithms.
Автор: Ryzko Dominik Название: Modern Big Data Architectures: A Multi-Agent Systems Perspective ISBN: 1119597846 ISBN-13(EAN): 9781119597841 Издательство: Wiley Рейтинг: Цена: 52800.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Provides an up-to-date analysis of big data and multi-agent systems The term Big Data refers to the cases, where data sets are too large or too complex for traditional data-processing software. With the spread of new concepts such as Edge Computing or the Internet of Things, production, processing and consumption of this data becomes more and more distributed. As a result, applications increasingly require multiple agents that can work together.
A multi-agent system (MAS) is a self-organized computer system that comprises multiple intelligent agents interacting to solve problems that are beyond the capacities of individual agents. Modern Big Data Architectures examines modern concepts and architecture for Big Data processing and analytics. This unique, up-to-date volume provides joint analysis of big data and multi-agent systems, with emphasis on distributed, intelligent processing of very large data sets.
Each chapter contains practical examples and detailed solutions suitable for a wide variety of applications. The author, an internationally-recognized expert in Big Data and distributed Artificial Intelligence, demonstrates how base concepts such as agent, actor, and micro-service have reached a point of convergence--enabling next generation systems to be built by incorporating the best aspects of the field. This book: Illustrates how data sets are produced and how they can be utilized in various areas of industry and scienceExplains how to apply common computational models and state-of-the-art architectures to process Big Data tasksDiscusses current and emerging Big Data applications of Artificial Intelligence Modern Big Data Architectures: A Multi-Agent Systems Perspective is a timely and important resource for data science professionals and students involved in Big Data analytics, and machine and artificial learning.
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