AI Ethics: A Primer

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Author :
Publisher : Ironic Publications
ISBN 13 :
Total Pages : 70 pages
Book Rating : 4./5 ( download)

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Book Synopsis AI Ethics: A Primer by : Timothy P Jankowski

Download or read book AI Ethics: A Primer written by Timothy P Jankowski and published by Ironic Publications. This book was released on 2024-02-13 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI Ethics: A Primer by Timothy Jankowski, delves into the profound implications of artificial intelligence on our societal fabric, scrutinizing both its potential and pitfalls. It navigates through AI's evolutionary journey, its diverse applications, and the critical ethical considerations it beckons—from privacy concerns to the specter of bias, and beyond. This comprehensive exploration is structured methodically, weaving through the technical intricacies of AI technologies, their impact across various sectors, and the resultant ethical dilemmas. It highlights the urgency for a balanced approach that fosters AI's benefits while vigilantly guarding against its adverse impacts. The narrative underscores the imperative for multidisciplinary engagement and proactive ethical frameworks to steer AI's advancement towards enhancing human welfare and societal well-being.

AI Ethics

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Author :
Publisher : MIT Press
ISBN 13 : 0262538199
Total Pages : 250 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis AI Ethics by : Mark Coeckelbergh

Download or read book AI Ethics written by Mark Coeckelbergh and published by MIT Press. This book was released on 2020-04-07 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This overview of the ethical issues raised by artificial intelligence moves beyond hype and nightmare scenarios to address concrete questions—offering a compelling, necessary read for our ChatGPT era. Artificial intelligence powers Google’s search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions. Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein’s monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.

The Ethics Primer for Public Administrators in Government and Nonprofit Organizations, Second Edition

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Author :
Publisher : Jones & Bartlett Publishers
ISBN 13 : 1449619029
Total Pages : 273 pages
Book Rating : 4.4/5 (496 download)

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Book Synopsis The Ethics Primer for Public Administrators in Government and Nonprofit Organizations, Second Edition by : James H. Svara

Download or read book The Ethics Primer for Public Administrators in Government and Nonprofit Organizations, Second Edition written by James H. Svara and published by Jones & Bartlett Publishers. This book was released on 2014-02-07 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise text is a reader friendly primer to the fundamentals of administrative responsibility and ethics. Your students will come away with a clear understanding of why ethics are important to administrators in governmental and non-profit organizations, and how these administrators can relate their own personal values to the norms of the public sector. Since the publication of the first edition of The Ethics Primer, there has been significant change in the climate of public affairs that impacts the discussion of ethics for those who serve the public in governmental and nonprofit organizations. The new edition reflects those changes in three major areas: • Ethics in an era of increasing tension between political leaders and administrators over the role and size of government. • Ethical choices in making fiscal cuts or imposing new taxes in the face of the greatest economic crisis since the Depression. • Ethical challenges to established practices in public organizations. The Second Edition also offers thoroughly updated data and sources throughout, as well as examples that incorporate new research and new developments in government and politics. The Second Edition of The Ethics Primer for Public Administrators in Government and Nonprofit Organizations: • Introduces readers to the fundamentals of administrative responsibility and provides comprehensive coverage of the important elements of ethics. • Features an accessible and interactive approach to maximize understanding of the subject. • Includes information on the nature of public service and the ethical expectations of public administrators, as well factors that may lead to unethical behavior. • Written from a political perspective, the book addresses questions that are highly salient to persons working in government and nonprofits. • Offers helpful ways to link ethics and management in order to strengthen the ethical climate in a public organization.

Oxford Handbook of Ethics of AI

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Author :
Publisher : Oxford University Press
ISBN 13 : 0190067411
Total Pages : 1000 pages
Book Rating : 4.1/5 (9 download)

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Book Synopsis Oxford Handbook of Ethics of AI by : Markus D. Dubber

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."

Trustworthy AI

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Publisher : John Wiley & Sons
ISBN 13 : 1119867959
Total Pages : 230 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Trustworthy AI by : Beena Ammanath

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.

Towards a Code of Ethics for Artificial Intelligence

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Author :
Publisher : Springer
ISBN 13 : 3319606484
Total Pages : 134 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Towards a Code of Ethics for Artificial Intelligence by : Paula Boddington

Download or read book Towards a Code of Ethics for Artificial Intelligence written by Paula Boddington and published by Springer. This book was released on 2017-11-09 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: The author investigates how to produce realistic and workable ethical codes or regulations in this rapidly developing field to address the immediate and realistic longer-term issues facing us. She spells out the key ethical debates concisely, exposing all sides of the arguments, and addresses how codes of ethics or other regulations might feasibly be developed, looking for pitfalls and opportunities, drawing on lessons learned in other fields, and explaining key points of professional ethics. The book provides a useful resource for those aiming to address the ethical challenges of AI research in meaningful and practical ways.

The Cambridge Handbook of Artificial Intelligence

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Publisher : Cambridge University Press
ISBN 13 : 0521871425
Total Pages : 367 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis The Cambridge Handbook of Artificial Intelligence by : Keith Frankish

Download or read book The Cambridge Handbook of Artificial Intelligence written by Keith Frankish and published by Cambridge University Press. This book was released on 2014-06-12 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative, up-to-date survey of the state of the art in artificial intelligence, written for non-specialists.

Robot Ethics

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Publisher : MIT Press
ISBN 13 : 026252600X
Total Pages : 399 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Robot Ethics by : Patrick Lin

Download or read book Robot Ethics written by Patrick Lin and published by MIT Press. This book was released on 2014-01-10 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prominent experts from science and the humanities explore issues in robot ethics that range from sex to war. Robots today serve in many roles, from entertainer to educator to executioner. As robotics technology advances, ethical concerns become more pressing: Should robots be programmed to follow a code of ethics, if this is even possible? Are there risks in forming emotional bonds with robots? How might society—and ethics—change with robotics? This volume is the first book to bring together prominent scholars and experts from both science and the humanities to explore these and other questions in this emerging field. Starting with an overview of the issues and relevant ethical theories, the topics flow naturally from the possibility of programming robot ethics to the ethical use of military robots in war to legal and policy questions, including liability and privacy concerns. The contributors then turn to human-robot emotional relationships, examining the ethical implications of robots as sexual partners, caregivers, and servants. Finally, they explore the possibility that robots, whether biological-computational hybrids or pure machines, should be given rights or moral consideration. Ethics is often slow to catch up with technological developments. This authoritative and accessible volume fills a gap in both scholarly literature and policy discussion, offering an impressive collection of expert analyses of the most crucial topics in this increasingly important field.

The Essence of Artificial Intelligence

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Author :
Publisher : Willford Press
ISBN 13 : 9781682854815
Total Pages : 256 pages
Book Rating : 4.8/5 (548 download)

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Book Synopsis The Essence of Artificial Intelligence by : Xavier Smith

Download or read book The Essence of Artificial Intelligence written by Xavier Smith and published by Willford Press. This book was released on 2018-02-09 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence is one of the most important sub-fields of computer science in the present scenario. It refers to the study of intelligence that machines exhibit. It can be any kind of understanding and problem solving properties similar to the human brain. Artificial intelligence research includes topics like perception, reasoning, planning, natural language processing (communication) and learning. This book presents the complex subject of artificial intelligence in the most comprehensible and easy to understand language. While understanding the long-term perspectives of the topics, the book makes an effort in highlighting their impact as a modern tool for the growth of the discipline. The topics covered in this extensive text deal with the core subjects of the area. Those in search of information to further their knowledge will be greatly assisted by this textbook.

Artificial Intelligence and Global Security

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Author :
Publisher : Emerald Group Publishing
ISBN 13 : 1789738113
Total Pages : 217 pages
Book Rating : 4.7/5 (897 download)

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Book Synopsis Artificial Intelligence and Global Security by : Yvonne R. Masakowski

Download or read book Artificial Intelligence and Global Security written by Yvonne R. Masakowski and published by Emerald Group Publishing. This book was released on 2020-07-15 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Global Security: Future Trends, Threats and Considerations brings a much-needed perspective on the impact of the integration of Artificial Intelligence (AI) technologies in military affairs. Experts forecast that AI will shape future military operations in ways that will revolutionize warfare.

An Artificial Revolution

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Publisher : Black Spot Books
ISBN 13 : 1911648128
Total Pages : 104 pages
Book Rating : 4.9/5 (116 download)

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Book Synopsis An Artificial Revolution by : Ivana Bartoletti

Download or read book An Artificial Revolution written by Ivana Bartoletti and published by Black Spot Books. This book was released on 2020-05-20 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI has unparalleled transformative potential to reshape society, our economies and our working lives, but without legal scrutiny, international oversight and public debate, we are sleepwalking into a future written by algorithms which encode racist, sexist and classist biases into our daily lives &– an issue that requires systemic political and cultural change to productively address. Leading privacy expert Ivana Bartoletti exposes the reality of the AI revolution, from the low-paid workers who toil to train algorithms to recognise cancerous polyps, to the rise of techno-racism and techno-chauvinism and the symbiotic relationship between AI and right wing populism. An Artificial Revolution is an essential primer to understand the intersection of technology and geopolitical forces shaping the future of civilisation.• Endorsements confirmed from leading UK political figures including David Lammy MP, Yvette Cooper MP, Paul Mason, Frances O'Grady and Ayesha Hazarika• A primer for anyone who is interested to learn more about the relation between AI and ethics, data and privacy, corporate power, politics and tech• Ivana is a sought-after commentator who has appeared on flagship news programmes on the BBC, Sky and other major broadcasters as a privacy and AI ethics expert, who also speaks at conferences around the world on AI and privacy

The Alignment Problem: Machine Learning and Human Values

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Publisher : W. W. Norton & Company
ISBN 13 : 039363583X
Total Pages : 459 pages
Book Rating : 4.3/5 (936 download)

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Book Synopsis The Alignment Problem: Machine Learning and Human Values by : Brian Christian

Download or read book The Alignment Problem: Machine Learning and Human Values written by Brian Christian and published by W. W. Norton & Company. This book was released on 2020-10-06 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.

The Artificial Intelligence Imperative

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Author :
Publisher : Bloomsbury Publishing USA
ISBN 13 :
Total Pages : 240 pages
Book Rating : 4.2/5 (16 download)

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Book Synopsis The Artificial Intelligence Imperative by : Anastassia Lauterbach

Download or read book The Artificial Intelligence Imperative written by Anastassia Lauterbach and published by Bloomsbury Publishing USA. This book was released on 2018-04-12 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical guide to artificial intelligence and its impact on industry dispels common myths and calls for cross-sector, collaborative leadership for the responsible design and embedding of AI in the daily work of businesses and oversight by boards. Artificial intelligence has arrived, and it's coming to a business near you. The disruptive impact of AI on the global economy—from health care to energy, financial services to agriculture, and defense to media—is enormous. Technology literacy is a must for traditional businesses, their boards, policy makers, and governance professionals. This is the first book to explain where AI comes from, why it has emerged as one of the most powerful forces in mergers and acquisitions and research and development, and what companies need to do to implement it successfully. It equips business leaders with a practical roadmap for competing and even thriving in the face of the coming AI revolution. The authors analyze competitive trends, provide industry and governance examples, and explain interactions between AI and other digital technologies, such as blockchain, cybersecurity, and the Internet of Things. At the same time, AI experts will learn how their research and products can increase the competitiveness of their businesses, and corporate boards will come away with a thorough knowledge of the AI governance, ethics, and risk questions to ask.

Promoting Legal and Ethical Awareness

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Author :
Publisher : Elsevier Health Sciences
ISBN 13 : 0323070612
Total Pages : 281 pages
Book Rating : 4.3/5 (23 download)

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Book Synopsis Promoting Legal and Ethical Awareness by : Ronald W. Scott

Download or read book Promoting Legal and Ethical Awareness written by Ronald W. Scott and published by Elsevier Health Sciences. This book was released on 2008-04-08 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Combining the best of author Ron Scott’s books, Promoting Legal Awareness in Physical and Occupational Therapy and Professional Ethics: A Guide for Rehabilitation Professionals, his newest text Promoting Legal and Ethical Awareness: A Primer for Health Professionals and Patients includes the latest case, regulatory, and statutory law. This valuable ethical and legal resource also includes an alphabetized section on HIPAA, current information on the reauthorized IDEA (Individuals with Disabilities Act), and expanded coverage of alternative dispute resolution and attorney-health professional-client relations. Cases and Questions allow you to apply key legal and ethical principles to a rehabilitation practice situation. Special Key Term boxes introduce and define important vocabulary to ensure your understanding of chapter content. Additional resource lists in each chapter include helpful sources for articles, books, and websites to further your learning. Case Examples let you put new ideas and concepts into practice by applying your knowledge to the example. Legal Foundations and Ethical Foundations chapters introduce the basic concepts of law, legal history, the court system, and ethics in the professional setting to provide a solid base for legal and ethical knowledge. An entire chapter devoted to healthcare malpractice provides vital information on practice problems that have legal implications, the claim process, and claim prevention. An extended discussion of the Americans with Disabilities Act informs you of your rights as an employee as well as the challenges faced in the workforce by your rehabilitation patients. Content on employment legal issues includes essential information for both employees and employers on patient interaction and the patient’s status in the workplace. Coverage of end-of-life issues and their legal and ethical implications provides important information for helping patients through end-of-life decisions and care.

Patterns, Predictions, and Actions: Foundations of Machine Learning

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Author :
Publisher : Princeton University Press
ISBN 13 : 0691233721
Total Pages : 321 pages
Book Rating : 4.6/5 (912 download)

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Book Synopsis Patterns, Predictions, and Actions: Foundations of Machine Learning by : Moritz Hardt

Download or read book Patterns, Predictions, and Actions: Foundations of Machine Learning written by Moritz Hardt and published by Princeton University Press. This book was released on 2022-08-23 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative, up-to-date graduate textbook on machine learning that highlights its historical context and societal impacts Patterns, Predictions, and Actions introduces graduate students to the essentials of machine learning while offering invaluable perspective on its history and social implications. Beginning with the foundations of decision making, Moritz Hardt and Benjamin Recht explain how representation, optimization, and generalization are the constituents of supervised learning. They go on to provide self-contained discussions of causality, the practice of causal inference, sequential decision making, and reinforcement learning, equipping readers with the concepts and tools they need to assess the consequences that may arise from acting on statistical decisions. Provides a modern introduction to machine learning, showing how data patterns support predictions and consequential actions Pays special attention to societal impacts and fairness in decision making Traces the development of machine learning from its origins to today Features a novel chapter on machine learning benchmarks and datasets Invites readers from all backgrounds, requiring some experience with probability, calculus, and linear algebra An essential textbook for students and a guide for researchers

Data Science Ethics

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Author :
Publisher : Oxford University Press
ISBN 13 : 0192847260
Total Pages : 273 pages
Book Rating : 4.1/5 (928 download)

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Book Synopsis Data Science Ethics by : David Martens

Download or read book Data Science Ethics written by David Martens and published by Oxford University Press. This book was released on 2022-03-24 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science ethics is all about what is right and wrong when conducting data science. Data science has so far been primarily used for positive outcomes for businesses and society. However, just as with any technology, data science has also come with some negative consequences: an increase of privacy invasion, data-driven discrimination against sensitive groups, and decision making by complex models without explanations. While data scientists and business managers are not inherently unethical, they are not trained to weigh the ethical considerations that come from their work - Data Science Ethics addresses this increasingly significant gap and highlights different concepts and techniques that aid understanding, ranging from k-anonymity and differential privacy to homomorphic encryption and zero-knowledge proofs to address privacy concerns, techniques to remove discrimination against sensitive groups, and various explainable AI techniques. Real-life cautionary tales further illustrate the importance and potential impact of data science ethics, including tales of racist bots, search censoring, government backdoors, and face recognition. The book is punctuated with structured exercises that provide hypothetical scenarios and ethical dilemmas for reflection that teach readers how to balance the ethical concerns and the utility of data.

A Citizen's Guide to Artificial Intelligence

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Author :
Publisher : MIT Press
ISBN 13 : 0262044811
Total Pages : 233 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis A Citizen's Guide to Artificial Intelligence by : John Zerilli

Download or read book A Citizen's Guide to Artificial Intelligence written by John Zerilli and published by MIT Press. This book was released on 2021-02-23 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise but informative overview of AI ethics and policy. Artificial intelligence, or AI for short, has generated a staggering amount of hype in the past several years. Is it the game-changer it's been cracked up to be? If so, how is it changing the game? How is it likely to affect us as customers, tenants, aspiring home-owners, students, educators, patients, clients, prison inmates, members of ethnic and sexual minorities, voters in liberal democracies? This book offers a concise overview of moral, political, legal and economic implications of AI. It covers the basics of AI's latest permutation, machine learning, and considers issues including transparency, bias, liability, privacy, and regulation.