Ethics Of Data And Analytics
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Ethics Of Data And Analytics
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Author : Kirsten Martin
language : en
Publisher: CRC Press
Release Date : 2022-05-13
Ethics Of Data And Analytics written by Kirsten Martin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-13 with Computers categories.
The ethics of data and analytics, in many ways, is no different than any endeavor to find the "right" answer. When a business chooses a supplier, funds a new product, or hires an employee, managers are making decisions with moral implications. The decisions in business, like all decisions, have a moral component in that people can benefit or be harmed, rules are followed or broken, people are treated fairly or not, and rights are enabled or diminished. However, data analytics introduces wrinkles or moral hurdles in how to think about ethics. Questions of accountability, privacy, surveillance, bias, and power stretch standard tools to examine whether a decision is good, ethical, or just. Dealing with these questions requires different frameworks to understand what is wrong and what could be better. Ethics of Data and Analytics: Concepts and Cases does not search for a new, different answer or to ban all technology in favor of human decision-making. The text takes a more skeptical, ironic approach to current answers and concepts while identifying and having solidarity with others. Applying this to the endeavor to understand the ethics of data and analytics, the text emphasizes finding multiple ethical approaches as ways to engage with current problems to find better solutions rather than prioritizing one set of concepts or theories. The book works through cases to understand those marginalized by data analytics programs as well as those empowered by them. Three themes run throughout the book. First, data analytics programs are value-laden in that technologies create moral consequences, reinforce or undercut ethical principles, and enable or diminish rights and dignity. This places an additional focus on the role of developers in their incorporation of values in the design of data analytics programs. Second, design is critical. In the majority of the cases examined, the purpose is to improve the design and development of data analytics programs. Third, data analytics, artificial intelligence, and machine learning are about power. The discussion of power—who has it, who gets to keep it, and who is marginalized—weaves throughout the chapters, theories, and cases. In discussing ethical frameworks, the text focuses on critical theories that question power structures and default assumptions and seek to emancipate the marginalized.
Ethics Of Data And Analytics
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Author : Kirsten Martin
language : en
Publisher: CRC Press
Release Date : 2022-05-12
Ethics Of Data And Analytics written by Kirsten Martin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-12 with Computers categories.
Unique selling point: Applies business ethics to the use of analytics, data, and AI Core audience: Graduate and undergraduate business students Place in the market: Graduate and undergraduate textbook
Ethics And Data Science
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Author : Mike Loukides
language : en
Publisher: O'Reilly Media
Release Date : 2018-07-25
Ethics And Data Science written by Mike Loukides and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-25 with Computers categories.
As the impact of data science continues to grow on society there is an increased need to discuss how data is appropriately used and how to address misuse. Yet, ethical principles for working with data have been available for decades. The real issue today is how to put those principles into action. With this report, authors Mike Loukides, Hilary Mason, and DJ Patil examine practical ways for making ethical data standards part of your work every day. To help you consider all of possible ramifications of your work on data projects, this report includes: A sample checklist that you can adapt for your own procedures Five framing guidelines (the Five C’s) for building data products: consent, clarity, consistency, control, and consequences Suggestions for building ethics into your data-driven culture Now is the time to invest in a deliberate practice of data ethics, for better products, better teams, and better outcomes. Get a copy of this report and learn what it takes to do good data science today.
97 Things About Ethics Everyone In Data Science Should Know
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Author : Bill Franks
language : en
Publisher: O'Reilly Media
Release Date : 2020-08-06
97 Things About Ethics Everyone In Data Science Should Know written by Bill Franks and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-06 with Computers categories.
Most of the high-profile cases of real or perceived unethical activity in data science aren’t matters of bad intent. Rather, they occur because the ethics simply aren’t thought through well enough. Being ethical takes constant diligence, and in many situations identifying the right choice can be difficult. In this in-depth book, contributors from top companies in technology, finance, and other industries share experiences and lessons learned from collecting, managing, and analyzing data ethically. Data science professionals, managers, and tech leaders will gain a better understanding of ethics through powerful, real-world best practices. Articles include: Ethics Is Not a Binary Concept—Tim Wilson How to Approach Ethical Transparency—Rado Kotorov Unbiased ≠ Fair—Doug Hague Rules and Rationality—Christof Wolf Brenner The Truth About AI Bias—Cassie Kozyrkov Cautionary Ethics Tales—Sherrill Hayes Fairness in the Age of Algorithms—Anna Jacobson The Ethical Data Storyteller—Brent Dykes Introducing Ethicize™, the Fully AI-Driven Cloud-Based Ethics Solution!—Brian O’Neill Be Careful with "Decisions of the Heart"—Hugh Watson Understanding Passive Versus Proactive Ethics—Bill Schmarzo
Ethical Data And Information Management
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Author : Katherine O'Keefe
language : en
Publisher: Kogan Page Publishers
Release Date : 2018-05-03
Ethical Data And Information Management written by Katherine O'Keefe and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-03 with Business & Economics categories.
Information and how we manage, process and govern it is becoming increasingly important as organizations ride the wave of the big data revolution. Ethical Data and Information Management offers a practical guide for people in organizations who are tasked with implementing information management projects. It sets out, in a clear and structured way, the fundamentals of ethics, and provides practical and pragmatic methods for organizations to embed ethical principles and practices into their management and governance of information. Written by global experts in the field, Ethical Data and Information Management is an important book addressing a topic high on the information management agenda. Key coverage includes how to build ethical checks and balances into data governance decision making; using quality management methods to assess and evaluate the ethical nature of processing during design; change methods to communicate ethical values; how to avoid common problems that affect ethical action; and how to make the business case for ethical behaviours.
Business Data Ethics
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Author : Dennis Hirsch
language : en
Publisher: Springer Nature
Release Date : 2023-12-24
Business Data Ethics written by Dennis Hirsch and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-24 with Law categories.
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.
Ethics Of Big Data
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Author : Kord Davis
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2012
Ethics Of Big Data written by Kord Davis and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Business & Economics categories.
This book contains a framework for productive discussion and thinking about ethics and Big Data in business environments. With the increasing size and scope of information that Big Data technologies can provide business, maintaining an ethical practice benefits from a common framework of understanding and vocabulary for discussing questions about coherent and consistent practices. A framework provides you with a set of conceptual terms and tools that help decision-markers to engage difficult questions the expanding role Big Data plays in an increasing variety of products and services. The approach is to develop a set of terms and concepts, consider ethical principles useful in meaningful business discussions, and then explore and compare several overall views on data handling to help inform the development of an ethics-based data strategy. The focus is to enhance effective decision-making in business rather than legislate what ought to be done with data. In this book, you will learn methods and techniques to facilitate rigorous, productive internal discussion, and express coherent and consistent positions on your organization's perspective on the use of Big Data in commerce.
Responsible Data Science
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Author : Peter C. Bruce
language : en
Publisher: John Wiley & Sons
Release Date : 2021-04-13
Responsible Data Science written by Peter C. Bruce and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-13 with Computers categories.
Explore the most serious prevalent ethical issues in data science with this insightful new resource The increasing popularity of data science has resulted in numerous well-publicized cases of bias, injustice, and discrimination. The widespread deployment of “Black box” algorithms that are difficult or impossible to understand and explain, even for their developers, is a primary source of these unanticipated harms, making modern techniques and methods for manipulating large data sets seem sinister, even dangerous. When put in the hands of authoritarian governments, these algorithms have enabled suppression of political dissent and persecution of minorities. To prevent these harms, data scientists everywhere must come to understand how the algorithms that they build and deploy may harm certain groups or be unfair. Responsible Data Science delivers a comprehensive, practical treatment of how to implement data science solutions in an even-handed and ethical manner that minimizes the risk of undue harm to vulnerable members of society. Both data science practitioners and managers of analytics teams will learn how to: Improve model transparency, even for black box models Diagnose bias and unfairness within models using multiple metrics Audit projects to ensure fairness and minimize the possibility of unintended harm Perfect for data science practitioners, Responsible Data Science will also earn a spot on the bookshelves of technically inclined managers, software developers, and statisticians.
The Big Data Agenda
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Author : Annika Richterich
language : en
Publisher: University of Westminster Press
Release Date : 2018-04-13
The Big Data Agenda written by Annika Richterich and has been published by University of Westminster Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-13 with Social Science categories.
This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis. The book assesses in detail one big data research area: biomedical studies, focused on epidemiological surveillance. Specific case studies explore how big data have been used in academic work. The Big Data Agenda concludes that the use of big data in research urgently needs to be considered from the vantage point of ethics and social justice. Drawing upon discourse ethics and critical data studies, Richterich argues that entanglements between big data research and technology/ internet corporations have emerged. In consequence, more opportunities for discussing and negotiating emerging research practices and their implications for societal values are needed.
97 Things About Ethics Everyone In Data Should Know
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Author : Bill Franks
language : en
Publisher: O'Reilly Media
Release Date : 2020-08-31
97 Things About Ethics Everyone In Data Should Know written by Bill Franks and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-31 with Computers categories.
With this in-depth book, data professionals, managers, and tech leaders will learn powerful, real-world best practices and get a better understanding for data ethics. Contributors from top companies in technology, finance, and other industries share their experiences and lessons learned on bias, privacy, security, and data governance--the things you need to know for ethically collecting, managing, and using data.