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Author: Sergio Genovesi
Publisher: Springer Nature
ISBN: 3031348044
Category : Philosophy
Languages : en
Pages : 220
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Book Description
This open access contributed volume examines the ethical and legal foundations of (future) policies on recommender systems and offers a transdisciplinary approach to tackle important issues related to their development, use and integration into online eco-systems. This volume scrutinizes the values driving automated recommendations - what is important for an individual receiving the recommendation, the company on which that platform was received, and society at large might diverge. The volume addresses concerns about manipulation of individuals and risks for personal autonomy. From a legal perspective, the volume offers a much-needed evaluation of regulatory needs and lawmakers’ answers in various legal disciplines. The focus is on European Union measures of platform regulation, consumer protection and anti-discrimination law. The volume will be of particular interest to the community of legal scholars dealing with platform regulation and algorithmic decision making. By including specific use cases, the volume also exposes pitfalls associated with current models of regulation. Beyond the juxtaposition of purely ethical and legal perspectives, the volume contains truly interdisciplinary work on various aspects of recommender systems.
Author: Sergio Genovesi
Publisher: Springer Nature
ISBN: 3031348044
Category : Philosophy
Languages : en
Pages : 220
Get Book Here
Book Description
This open access contributed volume examines the ethical and legal foundations of (future) policies on recommender systems and offers a transdisciplinary approach to tackle important issues related to their development, use and integration into online eco-systems. This volume scrutinizes the values driving automated recommendations - what is important for an individual receiving the recommendation, the company on which that platform was received, and society at large might diverge. The volume addresses concerns about manipulation of individuals and risks for personal autonomy. From a legal perspective, the volume offers a much-needed evaluation of regulatory needs and lawmakers’ answers in various legal disciplines. The focus is on European Union measures of platform regulation, consumer protection and anti-discrimination law. The volume will be of particular interest to the community of legal scholars dealing with platform regulation and algorithmic decision making. By including specific use cases, the volume also exposes pitfalls associated with current models of regulation. Beyond the juxtaposition of purely ethical and legal perspectives, the volume contains truly interdisciplinary work on various aspects of recommender systems.
Author: Dušan V. Popović
Publisher: Springer Nature
ISBN: 3031696786
Category :
Languages : en
Pages : 288
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Book Description
Author: Henrique Sousa Antunes
Publisher: Springer Nature
ISBN: 3031412648
Category : Law
Languages : en
Pages : 457
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Book Description
This open access book presents an interdisciplinary, multi-authored, edited collection of chapters on Artificial Intelligence (‘AI’) and the Law. AI technology has come to play a central role in the modern data economy. Through a combination of increased computing power, the growing availability of data and the advancement of algorithms, AI has now become an umbrella term for some of the most transformational technological breakthroughs of this age. The importance of AI stems from both the opportunities that it offers and the challenges that it entails. While AI applications hold the promise of economic growth and efficiency gains, they also create significant risks and uncertainty. The potential and perils of AI have thus come to dominate modern discussions of technology and ethics – and although AI was initially allowed to largely develop without guidelines or rules, few would deny that the law is set to play a fundamental role in shaping the future of AI.As the debate over AI is far from over, the need for rigorous analysis has never been greater. This book thus brings together contributors from different fields and backgrounds to explore how the law might provide answers to some of the most pressing questions raised by AI. An outcome of the Católica Research Centre for the Future of Law and its interdisciplinary working group on Law and Artificial Intelligence, it includes contributions by leading scholars in the fields of technology, ethics and the law.
Author: Khamis, Iman
Publisher: IGI Global
ISBN:
Category : Language Arts & Disciplines
Languages : en
Pages : 324
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Book Description
With the constant evolution of technology, libraries must grapple with the urgent need to adapt or face obsolescence. The integration of artificial intelligence (AI) into library operations presents many new opportunities as well as a complex array of challenges. The traditional roles of libraries, as pillars of knowledge and information, are being reshaped by AI, compelling institutions to reassess their relevance in an ever-evolving digital landscape. The urgency of this intersection between libraries and AI is emphasized by the necessity to revolutionize outdated systems, and it is in this dynamic context that Applications of Artificial Intelligence in Libraries emerges as an essential guide. The book addresses the ethical implications of AI-enabled libraries, offering strategies for navigating privacy concerns and potential challenges in the implementation of AI. It serves as a strategic guide for evaluating the impact and effectiveness of AI initiatives, developing policies and practices centered around AI, and training librarians for the inevitable integration of AI into their roles. By fostering collaboration between librarians, researchers, and AI experts, this book aims to empower professionals to navigate the transformative journey that AI is ushering in for libraries, fostering innovation, collaboration, and the creation of more effective and user-centric library services.
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
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Book Description
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Author: Zbigniew W. Ras
Publisher: Springer Nature
ISBN: 3030664503
Category : Technology & Engineering
Languages : en
Pages : 247
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Book Description
Music recommendation systems are becoming more and more popular. The increasing amount of personal data left by users on social media contributes to more accurate inference of the user’s musical preferences and the same to quality of personalized systems. Health recommendation systems have become indispensable tools in decision making processes in the healthcare sector. Their main objective is to ensure the availability of valuable information at the right time by ensuring information quality, trustworthiness, authentication, and privacy concerns. Medical doctors deal with various kinds of diseases in which the music therapy helps to improve symptoms. Listening to music may improve heart rate, respiratory rate, and blood pressure in people with heart disease. Sound healing therapy uses aspects of music to improve physical and emotional health and well-being. The book presents a variety of approaches useful to create recommendation systems in healthcare, music, and in music therapy.
Author: Munna, Afzal Sayed
Publisher: IGI Global
ISBN: 1668477378
Category : Business & Economics
Languages : en
Pages : 278
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Book Description
Digital marketing emerged as a natural response by companies and vendors to leverage and benefit from the significant consumer concentration on digital channels. This proliferation of IT applications and the enormous presence of customers in digital channels generate a large number of products and customer data. Machine learning and artificial intelligence are game-changing techniques in digital marketing to analyze this data. This analysis helps marketers to personalize the sales tools toward individuals, optimize their operations, and minimize expenditure. Contemporary Approaches of Digital Marketing and the Role of Machine Intelligence demonstrates relevant theories of digital marketing along with tools, techniques, methods, and strategies. It also identifies the research gaps for effective digital marketing tools, techniques, and methods and builds a bridge between digital marketing strategies and business plans for organizations. Covering topics such as digital marketing, metaverse, and visitor experience, this premier reference source is an essential resource for business leaders and managers, marketers, IT managers, data analysts, social media analysts, students and educators of higher education, researchers, and academicians.
Author: Loveleen Gaur
Publisher: Springer Nature
ISBN: 3031556151
Category :
Languages : en
Pages : 141
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Book Description
Author: Christopher Burr
Publisher: Springer Nature
ISBN: 3030291456
Category : Philosophy
Languages : en
Pages : 149
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Book Description
This edited volume presents an overview of cutting-edge research areas within digital ethics as defined by the Digital Ethics Lab of the University of Oxford. It identifies new challenges and opportunities of influence in setting the research agenda in the field. The yearbook presents research on the following topics: conceptual metaphor theory, cybersecurity governance, cyber conflicts, anthropomorphism in AI, digital technologies for mental healthcare, data ethics in the asylum process, AI’s legitimacy and democratic deficit, digital afterlife industry, automatic prayer bots, foresight analysis and the future of AI. This volume appeals to students, researchers and professionals.
Author: Markus Schedl
Publisher: Springer Nature
ISBN: 3031699785
Category : Information retrieval
Languages : en
Pages : 202
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Book Description
This book provides an in-depth treatment of three important topical areas related to regulatory, ethical, and technical discussions in the context of information retrieval and recommender systems (IRRSs): (1) bias, fairness, and non-discrimination, (2) transparency and explainability, and (3) privacy and security. Sometimes referred to as trustworthiness dimensions, they are analyzed by taking an interdisciplinary perspective and incorporating views from computer science, social sciences, psychology, and law and by particularly considering the related technical challenges, societal impact, ethical considerations, and regulatory approaches. After an introduction, the book first provides an overview of recent initiatives and already operational policies to regulate AI technology and discusses them in the context of IRRSs, focusing on regulations in Europe, the US, and China. Subsequent chapters present categories of biases, their relation to fairness and non-discrimination and ways to discover and mitigate harmful biases; major facets of transparency, with a focus on explainability (including common strategies to achieve it), traceability, and auditability; and privacy and security including technical approaches to mitigate privacy risks such as anonymization techniques and encryption methods. Eventually, the last chapter provides an outlook on the grand challenges in IRRSs, such as dealing with discrepancies between formal attempts, human perception, and regulatory frameworks for trustworthy IRRSs; understanding the capabilities and limitations of existing solutions in terms of fairness, transparency, and privacy; and adopting a multistakeholder perspective when developing solutions for fair, transparent, and privacy-preserving IRRSs. The book targets a mostly technical readership and aims to equip it with the necessary understanding of the ethical implications of their research and development in IRRSs as well as of recent policy initiatives and regulatory approaches. While a basic knowledge of IRRSs is assumed to fully comprehend the more technical and algorithmic parts of the book, even a lay audience in terms of technical background should benefit from the book.
