Data Science Ethics
DOWNLOAD
Download Data Science Ethics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Science Ethics book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Data Science Ethics
DOWNLOAD
Author : David Martens
language : en
Publisher: Oxford University Press
Release Date : 2022-03-24
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 2022-03-24 with Computers categories.
Data science ethics is all about what is right and wrong when conducting data science. Data science has so far been primarily used for positive outcomes for businesses and society. However, just as with any technology, data science has also come with some negative consequences: an increase of privacy invasion, data-driven discrimination against sensitive groups, and decision making by complex models without explanations. While data scientists and business managers are not inherently unethical, they are not trained to weigh the ethical considerations that come from their work - Data Science Ethics addresses this increasingly significant gap and highlights different concepts and techniques that aid understanding, ranging from k-anonymity and differential privacy to homomorphic encryption and zero-knowledge proofs to address privacy concerns, techniques to remove discrimination against sensitive groups, and various explainable AI techniques. Real-life cautionary tales further illustrate the importance and potential impact of data science ethics, including tales of racist bots, search censoring, government backdoors, and face recognition. The book is punctuated with structured exercises that provide hypothetical scenarios and ethical dilemmas for reflection that teach readers how to balance the ethical concerns and the utility of data.
Ethics And Data Science
DOWNLOAD
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 Science
DOWNLOAD
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
DOWNLOAD
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
Ethical Data
DOWNLOAD
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.
Ethics Of Data And Analytics
DOWNLOAD
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.
Ethics In Data Science
DOWNLOAD
Author : Zacharias Voulgaris
language : en
Publisher:
Release Date : 2017
Ethics In Data Science written by Zacharias Voulgaris and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
This video covers an often overlooked area within data science: ethics. Learn about the various ways to consider ethics while working on your data science projects, and where morality and privacy fit.
97 Things About Ethics Everyone In Data Should Know
DOWNLOAD
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 Science Ethics And Responsible Ai Eithical Considerations In Data Science And Ai
DOWNLOAD
Author : Dr. Manish Joshi
language : en
Publisher: Xoffencerpublication
Release Date : 2023-09-18
Data Science Ethics And Responsible Ai Eithical Considerations In Data Science And Ai written by Dr. Manish Joshi and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-18 with Computers categories.
It is possible to assert that we have now fully entered the era of artificial intelligence (AI), given the current state of technology and society. Whether or not we are aware of its presence, a growing proportion of the activities that comprise our day-to-day lives include the application of technology that makes use of artificial intelligence. AI can be found in our "smart" phones and TVs, personalized recommendations for products in online shops or other businesses use AI techniques, natural language processing can be used for automatic translation, voice recognition, and generation, and the intelligent assistants of Google, Amazon, Apple, and Microsoft (such as Alexa, Siri, and Cortana) are all AI computer programs. AI can be found in our "smart" phones and TVs, personalized recommendations for products in online shops or other businesses use AI techniques. These are only some of the most well-known uses of artificial intelligence. In addition to this, the application of AI is presently expanding to far larger scales. For instance, it is being used to make decisions that have a direct influence on the lives of humans, such as whether or not to offer a credit line from a bank or whether or not to grant conditional release from prison. Additionally, it is being used to determine whether or not to issue a credit line from a bank or whether or not to grant conditional release from prison. In the not-too-distant future, it is projected that self-driving cars and domestically intelligent robots that are able to aid those who are aging or disabled would become commercially accessible. In this view, human computer interaction comprises not only human artificial intelligence contact but also human artificial intelligence interaction to a very considerable degree. Internet has already developed into a commonplace tool, serving as a platform for the exchange of information, the facilitation of communication, the provision of entertainment, and the transaction of online business. This is in addition to artificial intelligence, which is rapidly becoming an ever-present component of our life. Changes in human routines, habits, and mentalities were all brought about during this same time period by the advent of the internet. It is possible for face-to-face interaction to be replaced by online communication, which can result in a number of advantageous outcomes. Two examples of these outcomes are the elimination of the demand for physical mobility and the reduction of distances.
The Ethical Frontier Of Ai And Data Analysis
DOWNLOAD
Author : Kumar, Rajeev
language : en
Publisher: IGI Global
Release Date : 2024-03-04
The Ethical Frontier Of Ai And Data Analysis written by Kumar, Rajeev and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-04 with Computers categories.
In the advancing fields of artificial intelligence (AI) and data science, a pressing ethical dilemma arises. As technology continues its relentless march forward, ethical considerations within these domains become increasingly complex and critical. Bias in algorithms, lack of transparency, data privacy breaches, and the broader societal repercussions of AI applications are demanding urgent attention. This ethical quandary poses a formidable challenge for researchers, academics, and industry professionals alike, threatening the very foundation of responsible technological innovation. Navigating this ethical minefield requires a comprehensive understanding of the multifaceted issues at hand. The Ethical Frontier of AI and Data Analysis is an indispensable resource crafted to address the ethical challenges that define the future of AI and data science. Researchers and academics who find themselves at the forefront of this challenge are grappling with the evolving landscape of AI and data science ethics. Underscoring the need for this book is the current lack of clarity on ethical frameworks, bias mitigation strategies, and the broader societal implications, which hinder progress and leave a void in the discourse. As the demand for responsible AI solutions intensifies, the imperative for this reliable guide that consolidates, explores, and advances the dialogue on ethical considerations grows exponentially.