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Responsible AI and Analytics for an Ethical and Inclusive Digitized Society

Author: Denis Dennehy

Publisher: Springer Nature

Published: 2021-08-25

Total Pages: 794

ISBN-13: 3030854477

This volume constitutes the proceedings of the 20th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2021, held in Galway, Ireland, in September 2021.* The total of 57 full and 8 short papers presented in these volumes were carefully reviewed and selected from 141 submissions. The papers are organized in the following topical sections: AI for Digital Transformation and Public Good; AI & Analytics Decision Making; AI Philosophy, Ethics & Governance; Privacy & Transparency in a Digitized Society; Digital Enabled Sustainable Organizations and Societies; Digital Technologies and Organizational Capabilities; Digitized Supply Chains; Customer Behavior and E-business; Blockchain; Information Systems Development; Social Media & Analytics; and Teaching & Learning. *The conference was held virtually due to the COVID-19 pandemic.

Responsible AI and Analytics for an Ethical and Inclusive Digitized Society

Author: Denis Dennehy

Publisher:

Published: 2021

Total Pages: 0

ISBN-13: 9783030854485

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Research Handbook on Artificial Intelligence and Decision Making in Organizations

Author: Ioanna Constantiou

Publisher: Edward Elgar Publishing

Published: 2024-03-14

Total Pages: 393

ISBN-13: 180392621X

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Featuring state-of-the-art research from leading academics in technology and organization studies, this timely Research Handbook provides a comprehensive overview of how AI becomes embedded in decision making in organizations, from the initial considerations when implementing AI to the use of such solutions in strategic decision making.

Handbook of Research on Foundations and Applications of Intelligent Business Analytics

Author: Sun, Zhaohao

Publisher: IGI Global

Published: 2022-03-11

Total Pages: 425

ISBN-13: 179989018X

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Intelligent business analytics is an emerging technology that has become a mainstream market adopted broadly across industries, organizations, and geographic regions. Intelligent business analytics is a current focus for research and development across academia and industries and must be examined and considered thoroughly so businesses can apply the technology appropriately. The Handbook of Research on Foundations and Applications of Intelligent Business Analytics examines the technologies and applications of intelligent business analytics and discusses the foundations of intelligent analytics such as intelligent mining, intelligent statistical modeling, and machine learning. Covering topics such as augmented analytics and artificial intelligence systems, this major reference work is ideal for scholars, engineers, professors, practitioners, researchers, industry professionals, academicians, and students.

Societal Responsibility of Artificial Intelligence

Author: Jerome Beranger

Publisher: John Wiley & Sons

Published: 2021-06-02

Total Pages: 258

ISBN-13: 1119831784

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The digital world is characterized by its immediacy, its density of information and its omnipresence, in contrast to the concrete world. Significant changes will occur in our society as AI becomes integrated into many aspects of our lives. This book focuses on this vision of universalization by dealing with the development and framework of AI applicable to all. It develops a moral framework based on a neo-Darwinian approach - the concept of Ethics by Evolution - to accompany AI by observing a certain number of requirements, recommendations and rules at each stage of design, implementation and use. The societal responsibility of artificial intelligence is an essential step towards ethical, eco-responsible and trustworthy AI, aiming to protect and serve people and the common good in a beneficial way.

Responsible AI and Ethical Issues for Businesses and Governments

Author: Vassileva, Bistra

Publisher: IGI Global

Published: 2020-10-16

Total Pages: 259

ISBN-13: 179984286X

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The research surrounding artificial intelligence (AI) is vast and quite diverse in both its applied and theoretical fields. AI tools and techniques, such as machine learning, data mining, neural networks, and advanced analytics, are evolving at a high speed, creating a consistent need for updated research. This is especially relevant with frequent developments for the application of AI technology in many science and industry sectors. This rapid expansion created a need for research that focuses on the questions surrounding the development of AI such as ethical issues, responsible AI methods and applications, and its widespread implementation. Within the answers to these questions is the prevailing notion that AI should be accountable, explainable, transparent, and fair for all organizations and individuals. Responsible AI and Ethical Issues for Businesses and Governments widens the understanding of AI outside of the “narrow” technical perspective to a broader viewpoint that embraces the links between AI theory, practice, and policy. The chapters in this book discuss the basic philosophical and conceptual foundations of AI and explores the responsible application of AI tools and methods, the moral aspects of AI, practical issues, and responsible AI implementation across a range of industries. While highlighting topics that include digital transformation, ethical competence, information literacy in AI, and the interaction between AI and humans, this book is ideally designed for IT specialists, technology developers, technologists, ethicists, practitioners, stakeholders, academicians, students, and researchers who are interested in learning more about the ethical and responsible use of AI.

AI-Driven Marketing Research and Data Analytics

Author: Masengu, Reason

Publisher: IGI Global

Published: 2024-04-22

Total Pages: 515

ISBN-13:

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The surge in technological advancements, coupled with the exponential growth of data, has left marketers grappling with the need for a paradigm shift. The once-established methods of consumer engagement are now overshadowed by the complexities of the digital age, demanding a profound understanding of artificial intelligence (AI) and data analytics. The gap between academic knowledge and practical applications in the field of marketing has widened, leaving industry professionals, educators, and students seeking a comprehensive resource to navigate the intricacies of this transformative era. AI-Driven Marketing Research and Data Analytics is a groundbreaking book that serves as a beacon for marketers, educators, and industry leaders alike. With a keen focus on the symbiotic relationship between AI, data analytics, and marketing research, this book bridges the gap between theory and practice. It not only explores the historical evolution of marketing but also provides an innovative examination of how AI and data analytics are reshaping the landscape. Through real-time case studies, ethical considerations, and in-depth insights, the book offers a holistic solution to the challenges faced by marketing professionals in the digital age.

Responsible Artificial Intelligence

Author: Virginia Dignum

Publisher: Springer Nature

Published: 2019-11-04

Total Pages: 127

ISBN-13: 3030303713

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In this book, the author examines the ethical implications of Artificial Intelligence systems as they integrate and replace traditional social structures in new sociocognitive-technological environments. She discusses issues related to the integrity of researchers, technologists, and manufacturers as they design, construct, use, and manage artificially intelligent systems; formalisms for reasoning about moral decisions as part of the behavior of artificial autonomous systems such as agents and robots; and design methodologies for social agents based on societal, moral, and legal values. Throughout the book the author discusses related work, conscious of both classical, philosophical treatments of ethical issues and the implications in modern, algorithmic systems, and she combines regular references and footnotes with suggestions for further reading. This short overview is suitable for undergraduate students, in both technical and non-technical courses, and for interested and concerned researchers, practitioners, and citizens.

Impact of Digitalization on Reporting, Tax Avoidance, Accounting, and Green Finance

Author: Alqatan, Ahmad

Publisher: IGI Global

Published: 2024-04-01

Total Pages: 376

ISBN-13:

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Digital era reporting undergoes a seismic shift as automation takes center stage. The transition from manual reporting to real-time automated systems enhances precision and efficiency and reduces errors, empowering decision-makers. However, this era of digital reporting brings forth a new set of challenges, from data security and privacy concerns to the imperative need for robust cybersecurity measures. Impact of Digitalization on Reporting, Tax Avoidance, Accounting, and Green Finance delves into this transformative wave, comprehensively exploring its consequences on these critical domains. The book meticulously dissects both the positive and negative repercussions, encapsulating the challenges and opportunities that arise in this era of digital metamorphosis. Navigating tax avoidance in a digitalized world unveils a complex dynamic. Digitalization, on the one hand, empowers tax authorities to access and analyze vast datasets, making it challenging for businesses to engage in tax evasion. On the other hand, sophisticated digital tools provide fertile ground for corporations to devise intricate tax avoidance schemes. Striking a balance becomes paramount, necessitating regulatory measures and international cooperation while addressing ethical dimensions in leveraging technology for tax strategies. The book offers a nuanced understanding of the intricate relationship between digitalization and these critical domains, from business professionals and financial analysts to regulatory bodies and sustainability advocates.

The Relational Governance of Artificial Intelligence

Author: Sabine Wiesmüller

Publisher: Springer Nature

Published: 2023-02-03

Total Pages: 239

ISBN-13: 3031250230

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This book addresses the development and adoption of artificial intelligence (AI) in and by companies and the consequent need for private sector AI regulation. Highlighting the challenges to responsible business conduct and considering stakeholder interests, it identifies ethical concerns and discusses AI standards and AI norms. Based on this needs-based analysis, the author chooses relational economics as a suitable approach to develop a theoretical AI governance model. In doing so, AI is conceptualized within relational economics in the form of an autopoietic system. Building on this theoretical contribution, the book specifies the governance adaptivity of the relational AI governance approach for an unregulated AI market and for the case of the pending E.U. AI regulation, and complements it with inductively conducted categories that summarize the main research streams in AI ethics.