Ethical Data Science
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Ethics And Data Science
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Author : Mike Loukides
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2018-07-25
Ethics And Data Science written by Mike Loukides 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 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.
Ethical Data
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Author : Barrett Williams
language : en
Publisher: Barrett Williams
Release Date : 2024-12-14
Ethical Data written by Barrett Williams and has been published by Barrett Williams this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-14 with Computers categories.
Discover the transformative power of data while navigating its ethical landscape in "Ethical Data." Whether you're a data enthusiast, a business professional, or someone intrigued by the promises and perils of data science, this comprehensive eBook is your gateway to understanding and implementing ethical data practices. Begin your journey with a thorough exploration of the ethical implications in the rapidly evolving field of data science. Gain clarity on why ethics must be at the forefront of data-driven decision-making. Delve into the vital principles of ethical data collection, learn about informed consent, and understand the significance of protecting privacy while avoiding bias in data sampling. Dive deeper into responsible data management with insights on data anonymization techniques and the development of robust data governance policies. Understand how to mitigate algorithmic bias, ensure fairness, and promote accountability within your data operations. "Ethical Data" sheds light on the critical aspects of data analysis, from ensuring transparency and interpretability in models to addressing ethical concerns in predictive analytics. With clear strategies and real-world case studies, the book provides practical guidance on implementing ethical frameworks in various organizational contexts. Navigate the ethical dimensions of AI and machine learning, explore transparency in data science practices, and discover best practices for responsible data sharing. Engaging case studies highlight both the triumphs and challenges organizations face in the ethical implementation of data science. With its forward-looking perspective, "Ethical Data" prepares you for the future, addressing emerging trends and specialized ethical challenges in fields like healthcare, finance, and government. By promoting a culture of ethics through training, awareness, and stakeholder engagement, this eBook empowers you to foster public trust and spearhead ethical innovations in your field. Step into the future of data science with confidence, equipped with the knowledge to bridge ethics and data effectively.
Ethical Data Science
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Author : Anne L. Washington
language : en
Publisher:
Release Date : 2023
Ethical Data Science written by Anne L. Washington and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Data mining categories.
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 arenâ??t matters of bad intent. Rather, they occur because the ethics simply arenâ??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 Conceptâ??Tim Wilson How to Approach Ethical Transparencyâ??Rado Kotorov Unbiased ≠ Fairâ??Doug Hague Rules and Rationalityâ??Christof Wolf Brenner The Truth About AI Biasâ??Cassie Kozyrkov Cautionary Ethics Talesâ??Sherrill Hayes Fairness in the Age of Algorithmsâ??Anna Jacobson The Ethical Data Storytellerâ??Brent Dykes Introducing Ethicizeâ?¢, the Fully AI-Driven Cloud-Based Ethics Solution!â??Brian Oâ??Neill Be Careful with "Decisions of the Heart"â??Hugh Watson Understanding Passive Versus Proactive Ethicsâ??Bill Schmarzo
Data Science Ethics
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Author : David Martens
language : en
Publisher: Oxford University Press
Release Date : 2022
Data Science Ethics written by David Martens and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Computers categories.
This book examines a variety of different concepts related to data science ethics and techniques that can help with, or lead to, ethical concerns, whilst featuring cautionary tales that illustrate the importance and potential impact of data science ethics.
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 Business & Economics 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.
Ethical Considerations In Data Science
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Author : Renata Sloane
language : en
Publisher: Independently Published
Release Date : 2025-05
Ethical Considerations In Data Science written by Renata Sloane and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05 with Computers categories.
As data science continues to shape industries and influence critical decisions, ethical considerations become paramount. Ethical Considerations in Data Science is an essential guide for professionals, students, and organizations navigating the complexities of privacy, fairness, and transparency in data science. This book delves into the ethical challenges faced by data scientists, offering actionable insights on how to responsibly handle data, make fair decisions, and maintain transparency in algorithms and models. Inside, you'll explore: Privacy and Data Protection: Learn the importance of safeguarding personal data and the ethical implications of data collection and usage, including GDPR and other data protection regulations. Fairness in Data Science: Understand how to identify and address biases in data, models, and algorithms to ensure fairness in decision-making and avoid discriminatory outcomes. Transparency and Accountability: Explore the need for clear, understandable, and accessible data science practices, as well as the importance of transparency in the creation and deployment of algorithms. Ethical AI and Machine Learning: Investigate the ethical concerns surrounding the use of AI and machine learning in data science, with a focus on the implications of automation and decision-making systems. Case Studies and Real-World Applications: Discover how companies and organizations have tackled ethical issues in data science, including successes and failures in the field. Practical Guidance for Ethical Decision Making: Gain tools and frameworks for making ethical decisions in data-driven projects, from data collection to model implementation and beyond. Why This Book is Crucial: Comprehensive Ethical Frameworks: Provides frameworks for ethical decision-making throughout the data science lifecycle. Actionable Insights: Focuses on practical solutions for addressing privacy, fairness, and transparency in data science projects. Real-World Applications: Features case studies of ethical challenges and solutions from leading organizations in technology, healthcare, and finance. Future-Focused: Prepares readers for the ethical considerations emerging with advancements in AI, big data, and machine learning. Data science has the power to change the world, but with that power comes great responsibility. Ethical Considerations in Data Science equips you with the knowledge and tools to navigate the ethical complexities of this fast-evolving field, ensuring that your work is not only impactful but also responsible and trustworthy.
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.
Data Matters
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Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2018-12-28
Data Matters written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-28 with Science categories.
In an increasingly interconnected world, perhaps it should come as no surprise that international collaboration in science and technology research is growing at a remarkable rate. As science and technology capabilities grow around the world, U.S.-based organizations are finding that international collaborations and partnerships provide unique opportunities to enhance research and training. International research agreements can serve many purposes, but data are always involved in these collaborations. The kinds of data in play within international research agreements varies widely and may range from financial and consumer data, to Earth and space data, to population behavior and health data, to specific project-generated dataâ€"this is just a narrow set of examples of research data but illustrates the breadth of possibilities. The uses of these data are various and require accounting for the effects of data access, use, and sharing on many different parties. Cultural, legal, policy, and technical concerns are also important determinants of what can be done in the realms of maintaining privacy, confidentiality, and security, and ethics is a lens through which the issues of data, data sharing, and research agreements can be viewed as well. A workshop held on March 14-16, 2018, in Washington, DC explored the changing opportunities and risks of data management and use across disciplinary domains. The third workshop in a series, participants gathered to examine advisory principles for consideration when developing international research agreements, in the pursuit of highlighting promising practices for sustaining and enabling international research collaborations at the highest ethical level possible. The intent of the workshop was to explore, through an ethical lens, the changing opportunities and risks associated with data management and use across disciplinary domainsâ€"all within the context of international research agreements. This publication summarizes the presentations and discussions from the workshop.
Real World Ai Ethics For Data Scientists
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Author : Nachshon (Sean) Goltz
language : en
Publisher: CRC Press
Release Date : 2023-04-13
Real World Ai Ethics For Data Scientists written by Nachshon (Sean) Goltz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-13 with Computers categories.
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.