Ai Ethics And Legal Compliance

Author : A I
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.62/5 ( download)

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Download or read book AI Ethics and Legal Compliance written by A I and published by Independently Published. This book was released on 2024-03-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the age of transformative technological advancements, "AI Ethics and Legal Compliance: A Comprehensive Guide for Responsible AI Use" emerges as a crucial manifesto for the conscientious deployment and management of artificial intelligence (AI) technologies. Inspired by the character Jerry Maguire and his heartfelt manifesto, this book serves as a beacon, illuminating the path toward ethical AI use, underscoring the gravity of compliance with legal frameworks, and advocating for the responsible harnessing of AI's immense potential. As AI becomes increasingly intertwined with our daily lives, affecting sectors from healthcare to finance, and beyond, the imperative for a harmonious integration that respects ethical boundaries and adheres to legal standards has never been more pronounced. This guide is meticulously crafted to address the multifaceted challenges at the intersection of technology and law, providing insightful analyses, practical advice, and real-world examples that equip readers to navigate the ethical and legal landscape of AI. Through its chapters, the guide embarks on an enlightening journey, beginning with an exploration of the AI landscape-its evolution, impact, benefits, and associated risks-setting the stage for a deeper inquiry into the legal foundations for AI. It delves into the nuances of copyright infringement, plagiarism, data privacy, trademark violations, and the mitigation of bias, each chapter building on the last to furnish a holistic understanding of responsible AI use. The heart of this manifesto lies in its earnest call to action for ethical and compliant AI use, urging businesses, legal professionals, AI developers, and policymakers to embrace these principles as central to their AI strategies. It champions the development of AI technologies that not only drive innovation and efficiency but do so with an unwavering commitment to upholding individual rights, promoting fairness, and contributing positively to society at large. "AI Ethics and Legal Compliance" is not just a guide; it is a clarion call for a future where AI and humanity coexist in harmony, where technology serves as a force for good, empowering and enriching lives while safeguarding the values and rights that define us. This book is a testament to the possibility of a world where AI technologies are developed, deployed, and managed with a deep sense of ethical responsibility and legal compliance, ensuring a legacy of innovation that is both transformative and just.

Author : Pooja Agarwal
Publisher : Ink of Knowledge Publisher
ISBN 13 : 9789358263473
Total Pages : 0 pages
Book Rating : 4.74/5 ( download)

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Download or read book AI Ethics and Legal Compliance written by Pooja Agarwal and published by Ink of Knowledge Publisher. This book was released on 2024-05-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The intersection of AI ethics and legal compliance represents a complex and multifaceted domain, encompassing a wide range of moral dilemmas, societal concerns, and regulatory frameworks. This book seeks to explore this intricate intersection, providing readers with a comprehensive understanding of the ethical principles, legal requirements, and practical challenges inherent in the development, deployment, and governance of AI technologies.

Author : Markus D. Dubber
Publisher : Oxford University Press
ISBN 13 : 0190067411
Total Pages : 1000 pages
Book Rating : 4.10/5 ( download)

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Download or read book Oxford Handbook of Ethics of AI written by Markus D. Dubber and published by Oxford University Press. This book was released on 2020-06-30 with total page 1000 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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."

Author : Nathalie Rébé
Publisher : BRILL
ISBN 13 : 9004458107
Total Pages : 262 pages
Book Rating : 4.09/5 ( download)

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Download or read book Artificial Intelligence: Robot Law, Policy and Ethics written by Nathalie Rébé and published by BRILL. This book was released on 2021-08-09 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Artificial Intelligence: Robot Law, Policy and Ethics, Dr. Nathalie Rébé discusses the legal and contemporary issues in relation to creating conscious robots. This book provides an in-depth analysis of the existing regulatory tools, as well as a new comprehensive framework for regulating Strong AI.

Author : Beena Ammanath
Publisher : John Wiley & Sons
ISBN 13 : 1119867959
Total Pages : 230 pages
Book Rating : 4.51/5 ( download)

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Download or read book Trustworthy AI written by Beena Ammanath and published by John Wiley & Sons. This book was released on 2022-03-15 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: An essential resource on artificial intelligence ethics for business leaders In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI. Filled with deep insights and actionable steps for enabling trust across the entire AI lifecycle, the book presents: In-depth investigations of the key characteristics of trustworthy AI, including transparency, fairness, reliability, privacy, safety, robustness, and more A close look at the potential pitfalls, challenges, and stakeholder concerns that impact trust in AI application Best practices, mechanisms, and governance considerations for embedding AI ethics in business processes and decision making Written to inform executives, managers, and other business leaders, Trustworthy AI breaks new ground as an essential resource for all organizations using AI.

Author : Marco Iansiti
Publisher : Harvard Business Press
ISBN 13 : 1633697630
Total Pages : 175 pages
Book Rating : 4.38/5 ( download)

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Download or read book Competing in the Age of AI written by Marco Iansiti and published by Harvard Business Press. This book was released on 2020-01-07 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: "a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.

Author : David King
Publisher : Ingene Publishers
ISBN 13 : 1909524999
Total Pages : 99 pages
Book Rating : 4.96/5 ( download)

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Download or read book Legal & Humble AI written by David King and published by Ingene Publishers. This book was released on 2024-02-25 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: In "Legal and Humble AI: Addressing the Legal, Ethical, and Societal Dilemmas of Generative AI," the author takes a deep dive into the murky world of algorithmic bias. With the rise of AI technology, it's become increasingly clear that our legal and ethical frameworks are struggling to keep up. This book confronts the challenges head-on, offering insights into the complex intersection of law, ethics, and society when it comes to generative AI. From discriminatory hiring practices to biased medical diagnoses, AI algorithms have been found to perpetuate and even exacerbate existing social inequalities. The author explores the ways in which our legal system can adapt to this new reality, with an eye toward creating a more equitable future. Through real-world examples and thought-provoking analysis, "Legal and Humble AI" provides a compelling look at the implications of unchecked AI power. With accessible language and a keen understanding of the subject matter, this book is a must-read for anyone interested in the intersection of technology and society. Whether you're a legal professional, AI developer, or concerned citizen, "Legal and Humble AI" offers valuable insights into the challenges and opportunities that arise from the widespread use of generative AI. This book is a call to action, urging us to confront the ethical and legal dilemmas posed by AI technology, and to work toward a more just and equitable future.

Author : Monica Palmirani
Publisher : Springer
ISBN 13 : 3642357318
Total Pages : 322 pages
Book Rating : 4.12/5 ( download)

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Download or read book AI Approaches to the Complexity of Legal Systems - Models and Ethical Challenges for Legal Systems, Legal Language and Legal Ontologies, Argumentation and Software Agents written by Monica Palmirani and published by Springer. This book was released on 2012-11-28 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: The inspiring idea of this workshop series, Artificial Intelligence Approaches to the Complexity of Legal Systems (AICOL), is to develop models of legal knowledge concerning organization, structure, and content in order to promote mutual understanding and communication between different systems and cultures. Complexity and complex systems describe recent developments in AI and law, legal theory, argumentation, the Semantic Web, and multi-agent systems. Multisystem and multilingual ontologies provide an important opportunity to integrate different trends of research in AI and law, including comparative legal studies. Complexity theory, graph theory, game theory, and any other contributions from the mathematical disciplines can help both to formalize the dynamics of legal systems and to capture relations among norms. Cognitive science can help the modeling of legal ontology by taking into account not only the formal features of law but also social behaviour, psychology, and cultural factors. This book is thus meant to support scholars in different areas of science in sharing knowledge and methodological approaches. This volume collects the contributions to the workshop's third edition, which took place as part of the 25th IVR congress of Philosophy of Law and Social Philosophy, held in Frankfurt, Germany, in August 2011. This volume comprises six main parts devoted to the each of the six topics addressed in the workshop, namely: models for the legal system ethics and the regulation of ICT, legal knowledge management, legal information for open access, software agent systems in the legal domain, as well as legal language and legal ontology.

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.94/5 ( download)

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Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Dominika Ewa Harasimiuk
Publisher : Routledge
ISBN 13 : 1000320391
Total Pages : 174 pages
Book Rating : 4.98/5 ( download)

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Download or read book Regulating Artificial Intelligence written by Dominika Ewa Harasimiuk and published by Routledge. This book was released on 2021-02-09 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring potential scenarios of artificial intelligence regulation which prevent automated reality harming individual human rights or social values, this book reviews current debates surrounding AI regulation in the context of the emerging risks and accountabilities. Considering varying regulatory methodologies, it focuses mostly on EU’s regulation in light of the comprehensive policy making process taking place at the supranational level. Taking an ethics and humancentric approach towards artificial intelligence as the bedrock of future laws in this field, it analyses the relations between fundamental rights impacted by the development of artificial intelligence and ethical standards governing it. It contains a detailed and critical analysis of the EU’s Ethic Guidelines for Trustworthy AI, pointing at its practical applicability by the interested parties. Attempting to identify the most transparent and efficient regulatory tools that can assure social trust towards AI technologies, the book provides an overview of horizontal and sectoral regulatory approaches, as well as legally binding measures stemming from industries’ self-regulations and internal policies.