Socially Responsible Ai: Theories And Practices

Socially Responsible Ai: Theories And Practices

Author: Lu Cheng

Publisher: World Scientific

Published: 2023-02-13

Total Pages: 196

ISBN-13: 9811266646

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In the current era, people and society have grown increasingly reliant on artificial intelligence (AI) technologies. AI has the potential to drive us towards a future in which all of humanity flourishes. It also comes with substantial risks for oppression and calamity. In response, researchers and organizations have been working to publish principles and develop AI regulations for the responsible use of AI in consequential application domains. However, these theoretically formulated principles and regulations also need to be turned into actionable algorithms to materialize AI for good.This book introduces a unified perspective of Socially Responsible AI to help bridge conceptual AI principles to responsible AI practice. It begins with an interdisciplinary definition of socially responsible AI and the AI responsibility pyramid. Existing efforts seeking to materialize the mainstream responsible AI principles are then presented. The book also discusses how to leverage advanced AI techniques to address the challenging societal issues through Protecting, Informing, and Preventing, and concludes with open problems and challenges.This book serves as a convenient entry point for researchers, practitioners, and students to understand the problems and challenges of socially responsible AI, and to identify how their areas of expertise can contribute to making AI socially responsible.


Socially Responsible AI

Socially Responsible AI

Author: Cheng Lu (Professor of computer science)

Publisher:

Published: 2023

Total Pages: 0

ISBN-13: 9780000991188

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"In the current era, people and society have grown increasingly reliant on artificial intelligence (AI) technologies. AI has the potential to drive us towards a future in which all of humanity flourishes. It also comes with substantial risks for oppression and calamity. In response, researchers and organizations have been working to publish principles and develop AI regulations for the responsible use of AI in consequential application domains. However, these theoretically formulated principles and regulations also need to be turned into actionable algorithms to materialize AI for good. This book introduces a unified perspective of Socially Responsible AI to help bridge conceptual AI principles to responsible AI practice. It begins with an interdisciplinary definition of socially responsible AI and the AI responsibility pyramid. Existing efforts seeking to materialize the mainstream responsible AI principles are then presented. The book also discusses how to leverage advanced AI techniques to address the challenging societal issues through Protecting, Informing, and Preventing, and concludes with open problems and challenges. This book serves as a convenient entry point for researchers, practitioners, and students to understand the problems and challenges of socially responsible AI, and to identify how their areas of expertise can contribute to making AI socially responsible"--


Responsible Artificial Intelligence

Responsible Artificial Intelligence

Author: Virginia Dignum

Publisher: Springer Nature

Published: 2019-11-04

Total Pages: 133

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.


Balancing Human Rights, Social Responsibility, and Digital Ethics

Balancing Human Rights, Social Responsibility, and Digital Ethics

Author: Pucelj, Maja

Publisher: IGI Global

Published: 2024-08-05

Total Pages: 356

ISBN-13:

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The relentless march of technology has given rise to a host of ethical dilemmas, challenging established notions of privacy, human rights, and societal obligations. The increasing ubiquity of artificial intelligence (AI) has heightened concerns regarding its ethical use, data protection, and the deepening digital divide. The enactment of the EU's Artificial Intelligence Act and the OECD's AI recommendations underscores the critical need to address these complex issues, highlighting the urgency of understanding the ethical implications of digital technologies. Balancing Human Rights, Social Responsibility, and Digital Ethics offers a compelling solution to these issues by exploring the moral implications of AI, data privacy, and digital access. This book provides a holistic framework for addressing the ethical complexities of the digital era. Through practical insights on the alignment of technological advancements with human rights and social responsibility, it guides academics, policymakers, and technology professionals seeking to navigate the ethical implications of digital technologies.


Human-Centered AI at Work: Common Ground in Theories and Methods

Human-Centered AI at Work: Common Ground in Theories and Methods

Author: Annette Kluge

Publisher: Frontiers Media SA

Published: 2024-04-26

Total Pages: 137

ISBN-13: 2832548407

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Research can face artificial intelligence (AI) as an issue of technology development but also as an issue of enacted technology at work. Human-centered design of AI gives emphasis to the expertise and needs of human beings as a starting point of technology development or as an outcome of AI-based work settings. This is an important goal, as expressed, for example, by the international labor organization's call for a "human-centered agenda" for the future of AI and automation collaboration. This Research Topic raises the question of what human-centricity means, i.e. what are the criteria and indicators of human-centered AI and how can they be considered and implemented?


Ethical Quandaries in Business Practices: Exploring Morality and Social Responsibility

Ethical Quandaries in Business Practices: Exploring Morality and Social Responsibility

Author: Roache, Darcia Ann Marie

Publisher: IGI Global

Published: 2024-08-29

Total Pages: 775

ISBN-13:

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In today's fast-paced business environment, organizations face increasingly complex ethical challenges. From navigating cultural differences in global operations to balancing profit motives with social responsibility, businesses must make moral decisions that impact their stakeholders and the broader society. However, many need more frameworks and insights to address these challenges effectively, leading to ethical dilemmas that can harm their reputation and bottom line. Ethical Quandaries in Business Practices: Exploring Morality and Social Responsibility is a practical guide for organizations and individuals grappling with ethical decision-making. Delving into real-world case studies and offering theoretical perspectives equips readers with the tools to analyze ethical challenges in various business contexts. From understanding the ethical implications of marketing strategies to promoting ethical leadership and corporate governance, this book offers actionable insights to help businesses navigate complex ethical landscapes. It also addresses the growing demand from consumers, investors, and regulators for enterprises to prioritize social responsibility, providing strategies for integrating ethical practices into organizational culture.


Oxford Handbook of Ethics of AI

Oxford Handbook of Ethics of AI

Author: Markus D. Dubber

Publisher: Oxford University Press

Published: 2020-06-30

Total Pages: 1000

ISBN-13: 0190067411

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This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."


Fintech Applications in Islamic Finance: AI, Machine Learning, and Blockchain Techniques

Fintech Applications in Islamic Finance: AI, Machine Learning, and Blockchain Techniques

Author: Irfan, Mohammad

Publisher: IGI Global

Published: 2023-12-07

Total Pages: 352

ISBN-13:

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In the realm of Islamic finance, a pivotal challenge looms—the escalating complexity of investment decisions, macroeconomic analyses, and credit evaluations. In response, we present a groundbreaking solution that resonates with the rapidly evolving fintech era. Fintech Applications in Islamic Finance: AI, Machine Learning, and Blockchain Techniques offers a compelling repository of knowledge, meticulously curated by renowned editors Mohammad Irfan, Seifedine Kadry, Muhammad Sharif, and Habib Ullah Khan. Fintech Applications in Islamic Finance: AI, Machine Learning, and Blockchain Techniques is a call to action, an exploration of innovation, and a guide for both academia and industry. In an era where AI, ML, and blockchain reshape finance, this book stands as a beacon of knowledge, ushering Islamic finance into a realm of unprecedented efficiency and insight. As we invite readers to embark on this transformative journey, we illuminate the path to a future where technology and tradition converge harmoniously.