Ai Ethics And Discrimination In Business

Author : Marco Marabelli
Publisher : Springer Nature
Page : 255 pages
File Size : 46,7 Mb
Release : 2024-05-03
Category : Business & Economics
ISBN : 9783031539190

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AI, Ethics, and Discrimination in Business by Marco Marabelli Pdf

This book takes a historical approach to explore data, algorithms, their use in practice through applications of AI in various settings, and all of the surrounding ethical and DEI implications. Summarizing our current knowledge and highlighting gaps, it offers original examples from empirical research in various settings, such as healthcare, social media, and the GIG economy. The author investigates how systems relying on a binary structure (machines) work in systems that are instead analogic (societies). Further, he examines how underrepresented populations, who have been historically penalized by technologies, can play an active role in the design of automated systems, with a specific focus on the US legal and social system. One issue is that main tasks of machines concern classification, which, while efficient for speeding up decision-making processes, are inherently biased. Ultimately, this work advocates for ethical design and responsible implementation and deployment of technology in organizations and society through through government-sponsored social justice, in contrast with free market policies. This interdisciplinary text contributes to the timely and relevant debate on algorithmic fairness, biases, and potential discriminations. It will appeal to researchers in business ethics and information systems while building on theories from anthropology, psychology, sociology, management, marketing, and economics. Marco Marabelli is a Professor of Computer Information Systems at Bentley University, USA. His research focuses on the ethical and DEI implications of the use of emerging technologies in organizations and society and on the historical and legal aspects concerning social injustice associated with the use of artificial intelligence.

Author : Muharrem Kılıç
Publisher : Springer Nature
Page : 231 pages
File Size : 40,6 Mb
Release : 2024-07-01
Category : Electronic
ISBN : 9789819963270

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Algorithmic Discrimination and Ethical Perspective of Artificial Intelligence by Muharrem Kılıç Pdf

Author : Reid Blackman
Publisher : Harvard Business Press
Page : 214 pages
File Size : 43,7 Mb
Release : 2022-07-12
Category : Computers
ISBN : 9781647822828

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Ethical Machines by Reid Blackman Pdf

What will you do when your AI misbehaves? The promise of artificial intelligence is automated decision-making at scale, but that means AI also automates risk at scale. Are you prepared for that risk? Already, many companies have suffered real damage when their algorithms led to discriminatory, privacy-invading, and even deadly outcomes. Self-driving cars have hit pedestrians; HR algorithms have precluded women from job searches; mortgage systems have denied loans to qualified minorities. And often the companies who deployed the AI couldn't explain why the black box made the decision it did. In this environment, AI ethics isn't merely an academic curiosity, it's a business necessity. In Ethical Machines, Reid Blackman gives you all you need to understand AI ethics as a risk management challenge. He'll help you build, procure, and deploy AI in a way that's not only ethical but also safe in terms of your organization's reputation, regulatory compliance, and legal standing—and do it at scale. And don't worry—the book's purpose is to get work done, not to ponder deep and existential questions about ethics and technology. Blackman's clear and accessible writing helps make a complex and often misunderstood concept like ethics easy to grasp. Most importantly, Blackman makes ethics actionable by tackling the big three ethical risks with AI—bias, explainability, and privacy—and tells you what to do (and what not to do) to mitigate them. With practical approaches to everything from writing a strong statement of AI ethics principles to creating teams that effectively evaluate ethical risks, Ethical Machines is the one guide you need to ensure your AI advances your company's objectives instead of undermining them.

Author : Arshin Adib-Moghaddam
Publisher : Bloomsbury Publishing
Page : 161 pages
File Size : 45,8 Mb
Release : 2023-06-15
Category : Political Science
ISBN : 9781350374447

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Is Artificial Intelligence Racist? by Arshin Adib-Moghaddam Pdf

How did racism creep into the algorithms that govern our daily lives, from banking and shopping, to job applications? Connecting the legacy of enlightenment racism to forms of discrimination in modern day algorithms and Artificial Intelligence, this volume examines what data feeds into AI technology - and how this data will shape the future of humanity. Delving into the narratives enveloping the development of AI systems, with a particular emphasis on "tech-giants" and the ideas of Mark Zuckerberg, Elon Musk and Bill Gates, Arshin Adib-Moghaddam explains how and why technology aids and abets various forms of extremism, entrenches social hierarchies and discriminatory boundaries and how this will impact international security and human rights in the future.

Author : Tennin, Kyla Latrice,Ray, Samrat,Sorg, Jens M.
Publisher : IGI Global
Page : 367 pages
File Size : 48,9 Mb
Release : 2024-05-17
Category : Business & Economics
ISBN : 9798369326442

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Cases on AI Ethics in Business by Tennin, Kyla Latrice,Ray, Samrat,Sorg, Jens M. Pdf

Organizations face a pressing challenge in today's rapidly evolving economies: navigating the ethical complexities of adopting Artificial Intelligence (AI) and related technologies. As AI becomes increasingly integral to operations, transparency, fairness, accountability, and privacy concerns are more critical than ever. Organizations need practical guidance to develop and implement AI ethics strategies effectively. Cases on AI Ethics in Business offers a comprehensive solution by examining AI Ethics through theoretical lenses and innovative practices. It provides a roadmap for organizations to address ethical challenges in AI adoption, offering insights from leaders in the field. With a focus on theory-to-practice, the book equips readers with actionable strategies and frameworks to navigate the ethical implications of AI, ensuring responsible and sustainable AI deployment.

Author : Muzaffar Munshi
Publisher : Muzaffar Munshi
Page : 40 pages
File Size : 47,7 Mb
Release : 2023-05-13
Category : Computers
ISBN : 8210379456XXX

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The Ethics Of Artificial Intelligence: Balancing Benefits and Risks by Muzaffar Munshi Pdf

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 : Luppicini, Rocci
Publisher : IGI Global
Page : 368 pages
File Size : 53,9 Mb
Release : 2019-12-27
Category : Business & Economics
ISBN : 9781799818809

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Interdisciplinary Approaches to Digital Transformation and Innovation by Luppicini, Rocci Pdf

Business approaches in today’s society have become technologically-driven and highly-applicable within various professional fields. These business practices have transcended traditional boundaries with the implementation of internet technology, making it challenging for professionals outside of the business world to understand these advancements. Interdisciplinary research on business technology is required to better comprehend its innovations. Interdisciplinary Approaches to Digital Transformation and Innovation provides emerging research exploring the complex interconnections of technological business practices within society. This book will explore the practical and theoretical aspects of e-business technology within the fields of engineering, health, and social sciences. Featuring coverage on a broad range of topics such as data monetization, mobile commerce, and digital marketing, this book is ideally designed for researchers, managers, students, engineers, computer scientists, economists, technology designers, information specialists, and administrators seeking current research on the application of e-business technologies within multiple fields.

Author : Bernd Carsten Stahl
Publisher : Springer Nature
Page : 128 pages
File Size : 40,8 Mb
Release : 2021-03-17
Category : Computers
ISBN : 9783030699789

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Artificial Intelligence for a Better Future by Bernd Carsten Stahl Pdf

This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.

Author : Beena Ammanath
Publisher : John Wiley & Sons
Page : 230 pages
File Size : 46,9 Mb
Release : 2022-03-22
Category : Computers
ISBN : 9781119867920

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Trustworthy AI by Beena Ammanath Pdf

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 : Animesh Mukherjee,Juhi Kulshrestha,Abhijnan Chakraborty,Srijan Kumar
Publisher : Springer Nature
Page : 150 pages
File Size : 52,5 Mb
Release : 2024-01-30
Category : Technology & Engineering
ISBN : 9789819971848

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Ethics in Artificial Intelligence: Bias, Fairness and Beyond by Animesh Mukherjee,Juhi Kulshrestha,Abhijnan Chakraborty,Srijan Kumar Pdf

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 : Mark Coeckelbergh
Publisher : MIT Press
Page : 250 pages
File Size : 45,6 Mb
Release : 2020-04-07
Category : Computers
ISBN : 9780262538190

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AI Ethics by Mark Coeckelbergh Pdf

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.

Author : Bernd Carsten Stahl,Doris Schroeder,Rowena Rodrigues
Publisher : Springer Nature
Page : 121 pages
File Size : 49,7 Mb
Release : 2022-11-01
Category : Philosophy
ISBN : 9783031170409

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Ethics of Artificial Intelligence by Bernd Carsten Stahl,Doris Schroeder,Rowena Rodrigues Pdf

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.

Author : Sray Agarwal,Shashin Mishra
Publisher : Springer Nature
Page : 189 pages
File Size : 55,7 Mb
Release : 2021-09-13
Category : Computers
ISBN : 9783030768607

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Responsible AI by Sray Agarwal,Shashin Mishra Pdf

This book is written for software product teams that use AI to add intelligent models to their products or are planning to use it. As AI adoption grows, it is becoming important that all AI driven products can demonstrate they are not introducing any bias to the AI-based decisions they are making, as well as reducing any pre-existing bias or discrimination. The responsibility to ensure that the AI models are ethical and make responsible decisions does not lie with the data scientists alone. The product owners and the business analysts are as important in ensuring bias-free AI as the data scientists on the team. This book addresses the part that these roles play in building a fair, explainable and accountable model, along with ensuring model and data privacy. Each chapter covers the fundamentals for the topic and then goes deep into the subject matter – providing the details that enable the business analysts and the data scientists to implement these fundamentals. AI research is one of the most active and growing areas of computer science and statistics. This book includes an overview of the many techniques that draw from the research or are created by combining different research outputs. Some of the techniques from relevant and popular libraries are covered, but deliberately not drawn very heavily from as they are already well documented, and new research is likely to replace some of it.

Author : Christoph Bartneck,Christoph Lütge,Alan Wagner,Sean Welsh
Publisher : Springer Nature
Page : 124 pages
File Size : 43,5 Mb
Release : 2020-08-11
Category : Philosophy
ISBN : 9783030511104

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An Introduction to Ethics in Robotics and AI by Christoph Bartneck,Christoph Lütge,Alan Wagner,Sean Welsh Pdf

This open access book introduces the reader to the foundations of AI and ethics. It discusses issues of trust, responsibility, liability, privacy and risk. It focuses on the interaction between people and the AI systems and Robotics they use. Designed to be accessible for a broad audience, reading this book does not require prerequisite technical, legal or philosophical expertise. Throughout, the authors use examples to illustrate the issues at hand and conclude the book with a discussion on the application areas of AI and Robotics, in particular autonomous vehicles, automatic weapon systems and biased algorithms. A list of questions and further readings is also included for students willing to explore the topic further.

Author : Dennis Hirsch,Timothy Bartley,Aravind Chandrasekaran,Davon Norris,Srinivasan Parthasarathy,Piers Norris Turner
Publisher : Springer Nature
Page : 112 pages
File Size : 47,6 Mb
Release : 2023-12-24
Category : Law
ISBN : 9783031214912

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Business Data Ethics by Dennis Hirsch,Timothy Bartley,Aravind Chandrasekaran,Davon Norris,Srinivasan Parthasarathy,Piers Norris Turner Pdf

This open access book explains how leading business organizations attempt to achieve the responsible and ethical use of artificial intelligence (AI) and other advanced information technologies. These technologies can produce tremendous insights and benefits. But they can also invade privacy, perpetuate bias, and otherwise injure people and society. To use these technologies successfully, organizations need to implement them responsibly and ethically. The question is: how to do this? Data ethics management, and this book, provide some answers. The authors interviewed and surveyed data ethics managers at leading companies. They asked why these experts see data ethics as important and how they seek to achieve it. This book conveys the results of that research on a concise, accessible way. Much of the existing writing on data and AI ethics focuses either on macro-level ethical principles, or on micro-level product design and tooling. The interviews showed that companies need a third component: data ethics management. This third element consists of the management structures, processes, training and substantive benchmarks that companies use to operationalize their high-level ethical principles and to guide and hold accountable their developers. Data ethics management is the connective tissue makes ethical principles real. It is the focus of this book. This book should be of use to organizations that wish to improve their own data ethics management efforts, legislators and policymakers who hope to build on existing management practices, scholars who study beyond compliance business behavior, and members of the public who want to understand better the threats that AI poses and how to reduce them.