“ The Distinctiveness of AI Ethics , and Implications for Ethical Codes . " Paper presented at the workshop Ethics for Artificial Intelligence , July 9 , 2016 , IJCAI - 16 , New York . https://www.cs.ox.ac.uk/efai/ 2016 / 11 / 02 / the ...
Author: Mark Coeckelbergh
Publisher: MIT Press
An accessible synthesis of ethical issues raised by artificial intelligence that moves beyond hype and nightmare scenarios to address concrete questions. 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.
laws based on the benefits of AI, and recommend the government and the public sector to promote the spread and adoption of AI by launching major projects and systems. Moreover, the Watson team of IBM set up an ethics review committee ...
Author: Zhiyi Liu
Publisher: Springer Nature
Category: Artificial intelligence
This book deeply analyzes the theoretical roots of the development of global artificial intelligence ethics and AI governance, the ethical issues in AI application scenarios, and the discussion of artificial intelligence governance issues from a global perspective. From the perspective of knowledge, the book includes not only the metaphysical research of traditional Western ethics, but also the interpretation of AI-related practical cases and international policies. The purpose of this book is not only to study AI ethics and governance issues academically, but to seek a path to solve problems in the real world. It is a very meaningful monograph in both academic theory and reality. This book responds to the implementation of China's digital economy governance and other topics. It is a cutting-edge academic monograph that combines industry, policy, and thought. In this book, the author not only discusses the humanities thoughts such as ethics, political economy, philosophy, and sociology, but also involves computer science, biology, and medicine and other science and engineering disciplines, effectively using interdisciplinary thinking as readers clarify how to explore ethical consensus and establish smart social governance rules in the era of artificial intelligence, so as to provide the most comprehensive and unique scientific and technological insights for smart economy participants, related practitioners in the artificial intelligence industry, and government policy makers. For academia, this is a representative book of Chinese scholars' systematic thinking on AI ethical propositions from a global perspective. For the industry, this is a book that understands the policies and ethical propositions faced by the development of AI industry. An important reference book, for policy makers, this is a monograph for understanding how policies in the AI industry make decisions that conform to AI industry practices and people's moral order.
This provides opportunities for the integration of AI ethics and responsible AI approaches into the educational space. ... An ethical AI ecosystem should be spearheaded by educators and researchers within the higher institutions of ...
Author: Caitlin C. Corrigan
Publisher: Springer Nature
This open access book tackles the pressing problem of integrating concerns related to Artificial Intelligence (AI) ethics into higher education curriculums aimed at future AI developers in Africa and beyond. For doing so, it analyzes the present and future states of AI ethics education in local computer science and engineering programs. The authors share relevant best practices and use cases for teaching, develop answers to ongoing organizational challenges, and reflect on the practical implications of different theoretical approaches to AI ethics. The book is of great interest to faculty members, researchers, and students in the fields of artificial intelligence, computer science, mathematics, computer engineering, and related areas, as well as higher education administration.
Author: Nachshon (Sean) GoltzPublish On: 2023-04-13
Murungi provides a commentary on the moral rights of animals from the perspective of African ethics. He explores the role played by decolonization in the ethics of AI, and whether we can develop an ethics of AI that seeks to realize the ...
Author: Nachshon (Sean) Goltz
Publisher: CRC Press
In the midst of the fourth industrial revolution, big data is weighed in gold, placing enormous power in the hands of data scientists – the modern AI alchemists. But great power comes with greater responsibility. This book seeks to shape, in a practical, diverse, and inclusive way, the ethical compass of those entrusted with big data. Being practical, this book provides seven real-world case studies dealing with big data abuse. These cases span a range of topics from the statistical manipulation of research in the Cornell food lab through the Facebook user data abuse done by Cambridge Analytica to the abuse of farm animals by AI in a chapter co-authored by renowned philosophers Peter Singer and Yip Fai Tse. Diverse and inclusive, given the global nature of this revolution, this book provides case-by-case commentary on the cases by scholars representing non-Western ethical approaches (Buddhist, Jewish, Indigenous, and African) as well as Western approaches (consequentialism, deontology, and virtue). We hope this book will be a lighthouse for those debating ethical dilemmas in this challenging and ever-evolving field.
On January 10, 2019, the Chinese Association for Artificial Intelligence (CAAI), the only state-level AI organization sitting under the Ministry of Civil Affairs,18 announced the establishment of an AI ethics committee tasked with ...
Author: Markus D. Dubber
Publisher: Oxford University Press
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."
(https://ethicsinaction.ieee.org/), which is part of the IEEE Global Initiative on Ethics of Autonomous and Intelligent ... to say on AI ethics, but I would like to show that Buddhism offers a theory, a way of thinking about AI ethics, ...
Author: Soraj Hongladarom
This book presents a Buddhism-inspired contribution to the ethics of AI and robotics, and the idea that a possible norm for technology must be guided by the standard of "machine enlightenment" informed by a combination of ethical and technical excellences.
The lack of such a systematic approach and grounding principles means that any identified ethical 'goods' can become dangerous oversimplifications of politically complex and longcontested issues. This form of 'AI ethics' therefore runs ...
Author: Wayne Holmes
Publisher: Taylor & Francis
The Ethics of Artificial Intelligence in Education identifies and confronts key ethical issues generated over years of AI research, development, and deployment in learning contexts. Adaptive, automated, and data-driven education systems are increasingly being implemented in universities, schools, and corporate training worldwide, but the ethical consequences of engaging with these technologies remain unexplored. Featuring expert perspectives from inside and outside the AIED scholarly community, this book provides AI researchers, learning scientists, educational technologists, and others with questions, frameworks, guidelines, policies, and regulations to ensure the positive impact of artificial intelligence in learning.
Case Studies and Options for Addressing Ethical Challenges Bernd Carsten Stahl, Doris Schroeder, Rowena Rodrigues ... Media interest is also considerable, although some academics consider the treatment of AI ethics by the media as ...
Author: Bernd Carsten Stahl
Publisher: Springer Nature
This open access collection of AI ethics case studies is the first book to present real-life case studies combined with commentaries and strategies for overcoming ethical challenges. Case studies are one of the best ways to learn about ethical dilemmas and to achieve insights into various complexities and stakeholder perspectives. Given the omnipresence of AI ethics in academic, policy and media debates, the book will be suitable for a wide range of audiences, from scholars of different disciplines (e.g. AI science, ethics, politics, philosophy, economics) to policy-makers, lobbying NGOs, teachers and the educated public.
AI ETHICS In the field of artificial intelligence, principlism is the core ethical model with an additional principle: explicability. AI that is both beneficent and nonmaleficent is avoiding harm and doing good. AI promoting and not ...
Author: Michael Boylan
Publisher: Rowman & Littlefield
Today’s unprecedented power of computing and AI makes technology’s impact on society an essential area of ethical inquiry. This book investigates the relationship between technology and nature, ownership of technology, AI’s replacement of human functions, privacy and cybersecurity, and the ethics of self-driving cars and drone warfare.
General strategies to make AI error free or safer are important elements in tackling ethical issues. Verification (ascertaining that an end product meets design specifications) and validation (ascertaining that an end product meets user ...
Author: Paula Boddington
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.