Data Ethics of Power takes a reflective and fresh look at the ethical implications of transforming everyday life and the world through the effortless, costless, and seamless accumulation of extra layers of data. By shedding light on the constant tensions that exist between ethical principles and the interests invested in this socio-technical transformation, the book bridges the theory and practice divide in the study of the power dynamics that underpin these processes of the digitalization of the world. Gry Hasselbalch expertly draws on nearly two decades of experience in the field, and key literature, to advance a better understanding of the challenges faced by big data and AI developers. She provides an innovative ethical framework for studying and governing Big-Data and Artificial Intelligence. Offering both a historical account and a theoretical analysis of power dynamics and their ethical implications, as well as incisive ideas to guide future research and governance practices, the book makes a significant contribution to the establishment of an emerging data and AI ethics discipline. This timely book is a must-read for scholars studying AI, data, and technology ethics. Policymakers in the regulatory, governance, public administration, and management sectors will find the practical proposals for a human-centric approach to big data and AI to be a valuable resource for revising and developing future policies.

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

The essential guide for ethical decision-making in the 21st century, The Power of Ethics depicts “ethical decision-making not in a nebulous philosophical space, but at the point where the rubber meets the road” (Michael Schur, producer and creator of The Good Place). It’s not your imagination: we’re living in a time of moral decline. Publicly, we’re bombarded with reports of government leaders acting against the welfare of their constituents; companies prioritizing profits over health, safety, and our best interests; and technology posing risks to society with few or no repercussions for those responsible. Personally, we may be conflicted about how much privacy to afford our children on the internet; how to make informed choices about our purchases and the companies we buy from; or how to handle misconduct we witness at home and at work. How do we find a way forward? Today’s ethical challenges are increasingly gray, often without a clear right or wrong solution, causing us to teeter on the edge of effective decision-making. With concentrated power structures, rapid advances in technology, and insufficient regulation to protect citizens and consumers, ethics are harder to understand than ever. But in The Power of Ethics, Susan Liautaud shows how ethics can be used to create a sea change of positive decisions that can ripple outward to our families, communities, workplaces, and the wider world—offering unprecedented opportunity for good. Drawing on two decades as an ethics advisor guiding corporations and leaders, academic institutions, nonprofit organizations, and students in her Stanford University ethics courses, Susan Liautaud provides clarity to blurry ethical questions, walking you through a straightforward, four-step process for ethical decision-making you can use every day. Liautaud also explains the six forces driving virtually every ethical choice we face. Exploring some of today’s most challenging ethics dilemmas and showing you how to develop a clear point of view, speak out with authority, make effective decisions, and contribute to a more ethical world for yourself and others, The Power of Ethics is the must-have ethics guide for the 21st century.

The hidden costs of artificial intelligence, from natural resources and labor to privacy and freedom What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? In this book Kate Crawford reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequality. Drawing on more than a decade of research, award-winning science, and technology, Crawford reveals how AI is a technology of extraction: from the energy and minerals needed to build and sustain its infrastructure, to the exploited workers behind "automated" services, to the data AI collects from us. Rather than taking a narrow focus on code and algorithms, Crawford offers us a political and a material perspective on what it takes to make artificial intelligence and where it goes wrong. While technical systems present a veneer of objectivity, they are always systems of power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.

This anthology focuses on the ethical issues surrounding information control in the broadest sense. Anglo-American institutions of intellectual property protect and restrict access to vast amounts of information. Ideas and expressions captured in music, movies, paintings, processes of manufacture, human genetic information, and the like are protected domestically and globally. The ethical issues and tensions surrounding free speech and information control intersect in at least two important respects. First, the commons of thought and expression is threatened by institutions of copyright, patent, and trade secret. While institutions of intellectual property may be necessary for innovation and social progress they may also be detrimental when used by the privileged and economically advantaged to control information access, consumption, and expression. Second, free speech concerns have been allowed to trump privacy interests in all but the most egregious of cases. At the same time, our ability to control access to information about ourselves--what some call "informational privacy"--is rapidly diminishing. Data mining and digital profiling are opening up what most would consider private domains for public consumption and manipulation. Post-9/11, issues of national security have run headlong into individual rights to privacy and free speech concerns. While constitutional guarantees against unwarranted searches and seizures have been relaxed, access to vast amounts of information held by government agencies, libraries, and other information storehouses has been restricted in the name of national security.

A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.