Ethics In Artificial Intelligence Bias Fairness And Beyond PDF Download
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| Author | : Animesh Mukherjee |
| Publisher | : Springer Nature |
| Total Pages | : 150 |
| Release | : 2024-01-30 |
| Genre | : Technology & Engineering |
| ISBN | : 9819971845 |
Download Ethics in Artificial Intelligence: Bias, Fairness and Beyond Book in PDF, ePub and Kindle
This book is a collection of chapters in the newly developing area of ethics in artificial intelligence. The book comprises chapters written by leading experts in this area which makes it a one of its kind collections. Some key features of the book are its unique combination of chapters on both theoretical and practical aspects of integrating ethics into artificial intelligence. The book touches upon all the important concepts in this area including bias, discrimination, fairness, and interpretability. Integral components can be broadly divided into two segments – the first segment includes empirical identification of biases, discrimination, and the ethical concerns thereof in impact assessment, advertising and personalization, computational social science, and information retrieval. The second segment includes operationalizing the notions of fairness, identifying the importance of fairness in allocation, clustering and time series problems, and applications of fairness in software testing/debugging and in multi stakeholder platforms. This segment ends with a chapter on interpretability of machine learning models which is another very important and emerging topic in this area.
| Author | : Markus D. Dubber |
| Publisher | : Oxford University Press |
| Total Pages | : 1000 |
| Release | : 2020-06-30 |
| Genre | : Law |
| ISBN | : 0190067411 |
Download Oxford Handbook of Ethics of AI Book in PDF, ePub and Kindle
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 | : Caitlin C. Corrigan |
| Publisher | : Springer Nature |
| Total Pages | : 101 |
| Release | : 2023-01-20 |
| Genre | : Philosophy |
| ISBN | : 3031230353 |
Download AI Ethics in Higher Education: Insights from Africa and Beyond Book in PDF, ePub and Kindle
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 | : Muzaffar Munshi |
| Publisher | : Muzaffar Munshi |
| Total Pages | : 40 |
| Release | : 2023-05-13 |
| Genre | : Computers |
| ISBN | : |
Download The Ethics Of Artificial Intelligence: Balancing Benefits and Risks Book in PDF, ePub and Kindle
This book explores the ethical concerns surrounding the development and deployment of artificial intelligence (AI) in modern society. It provides an in-depth analysis of the potential benefits and risks associated with AI, highlighting the importance of balancing these factors to ensure that AI is used ethically and responsibly. The book covers a wide range of topics related to AI ethics, including the definition of AI, ethical concerns surrounding AI, the importance of balancing benefits and risks, and potential unintended consequences or catastrophic outcomes. It also delves into specific ethical issues such as bias and discrimination in AI decision-making, privacy and security concerns, fairness and equity, and the regulation and governance of AI development and deployment. The book provides valuable insights into approaches to managing ethical concerns in AI, with case studies of successful implementation of ethical AI practices. It also outlines challenges and opportunities for balancing benefits and risks and discusses future directions for research and development in ethical AI. This book is an essential resource for policymakers, businesses, and individuals concerned about the ethical implications of AI. It provides a comprehensive overview of the current state of AI ethics and offers practical guidance for ensuring that AI is used ethically and responsibly.
| Author | : Hesham Mohamed Elsherif |
| Publisher | : Eldonusa |
| Total Pages | : 0 |
| Release | : 2023-12-10 |
| Genre | : |
| ISBN | : |
Download Beyond the Code Book in PDF, ePub and Kindle
In "Beyond the Code: Ethical Dilemmas in the AI Era," we embark on a thought-provoking journey through the intricate and often controversial world of artificial intelligence (AI) and its ethical implications. This book is a timely exploration into how AI, a field that has revolutionized our world, poses complex moral and ethical questions that challenge our traditional understanding of autonomy, privacy, and fairness. As we step into an era where AI influences almost every aspect of our lives, from healthcare decisions to social interactions, the need for a comprehensive ethical framework has never been more critical. This book delves deep into the heart of these dilemmas, examining the fine balance between technological advancement and ethical responsibility. Chapter by chapter, we unravel the multifaceted layers of AI ethics, beginning with a historical overview of AI development and its rapid evolution. We then transition into the core ethical issues - privacy concerns, bias and discrimination in AI algorithms, the implications of autonomous systems, and the looming fear of job displacement due to AI automation. Each topic is meticulously explored, providing readers with a nuanced understanding of the ethical challenges we face. Further, "Beyond the Code" does not shy away from the complex interplay between AI and global socioeconomic structures. It probes into how AI-driven decisions can perpetuate existing inequalities and explores the global disparity in AI development and its implications for international relations. What sets this book apart is its multidisciplinary approach. Weaving in perspectives from leading AI researchers, ethicists, sociologists, and policymakers, the book offers a holistic view of the ethical landscape of AI. Through case studies and real-world examples, it illustrates the tangible impact of these ethical issues on individuals and societies. As we navigate the uncharted territories of AI, "Beyond the Code" serves as both a guide and a catalyst for critical thinking. It invites readers to question and reflect upon the ethical boundaries of AI, encouraging a proactive approach to shaping a future where technology and ethics coexist harmoniously. Happy Reading! Dr. Hesham Mohamed Elsherif
| Author | : Felipe Chavarro Polanía |
| Publisher | : Felipe chavarro |
| Total Pages | : 145 |
| Release | : 2024-04-12 |
| Genre | : Computers |
| ISBN | : |
Download Coexistence Beyond Code: Book in PDF, ePub and Kindle
Embark on a thought-provoking journey into the world of artificial intelligence with "Coexistence Beyond Code: The Ethical Matrix of AI and the Human Odyssey." This groundbreaking audiobook explores the profound impact of AI on various industries, delving into the ethical dilemmas and challenges that arise as technology intertwines with human life. From the transformative potential of AI in healthcare and decision-making to the risks of AI surveillance and the path to superintelligence, this audiobook offers a comprehensive exploration of the AI landscape. Discover the importance of responsible AI development, the need for ethical frameworks, and the societal implications of this revolutionary technology. With insights from renowned experts and real-world examples, "Coexistence Beyond Code" is an essential guide for anyone seeking to navigate the complex terrain of AI ethics and understand the future of human-AI coexistence. Immerse yourself in this captivating audiobook and gain a deeper understanding of the ethical considerations that will shape the course of AI development and its impact on the human odyssey.
| Author | : Chris Reed |
| Publisher | : Bloomsbury Publishing |
| Total Pages | : 416 |
| Release | : 2024-08-08 |
| Genre | : Law |
| ISBN | : 1509976825 |
Download AI Fairness and Beyond Book in PDF, ePub and Kindle
This book proposes a regulatory system for ensuring that AI makes fair decisions. No one wants to be the subject of an unfair decision made by an AI, and fairness is so important to society that we are likely to want to regulate to demand it. But how? This book attempts to answer that question. The aim of regulation must be for an AI's decisions to match the human conception of fairness. To understand what that is, the book proposes a holistic understanding of fairness, which tells us what regulation must try to achieve. However, regulation is not an abstract activity – it regulates how humans behave, and the humans in question are those who develop and use AI for decision-making. Thus the book investigates how those humans are attempting to achieve AI fairness. It finds that there is a serious mismatch between how technologists conceptualise fairness, compared to other humans. How can AI regulation bridge this gap? Traditional models of regulation cannot solve this problem. Fairness is too nuanced, too contextual, and is ultimately a human emotional response. Instead the book proposes to place the responsibility on the AI community to explain and justify their efforts to achieve fairness, basing regulatory and legal responses on how well that explanation deals with the risks that particular AI presents, and whether the AI operates in accordance with the explanation in use. The book concludes by examining how far this regulatory model might be useful for some of the other social problems which AI generates. An original and significant contribution to the literature on AI regulation, this book is a must-read for those working in the areas of law, regulation, and technology.
| Author | : Adam Bohr |
| Publisher | : Academic Press |
| Total Pages | : 385 |
| Release | : 2020-06-21 |
| Genre | : Computers |
| ISBN | : 0128184396 |
Download Artificial Intelligence in Healthcare Book in PDF, ePub and Kindle
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 | : Timothy P Jankowski |
| Publisher | : Ironic Publications |
| Total Pages | : 70 |
| Release | : 2024-02-13 |
| Genre | : Computers |
| ISBN | : |
Download AI Ethics: A Primer Book in PDF, ePub and Kindle
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.
| Author | : Wayne Holmes |
| Publisher | : Taylor & Francis |
| Total Pages | : 238 |
| Release | : 2022-08-11 |
| Genre | : Education |
| ISBN | : 1000620700 |
Download The Ethics of Artificial Intelligence in Education Book in PDF, ePub and Kindle
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.
