Ethics of Big Data: Balancing Risk and Innovation
Format: PDF / Kindle (mobi) / ePub
What are your organization’s policies for generating and using huge datasets full of personal information? This book examines ethical questions raised by the big data phenomenon, and explains why enterprises need to reconsider business decisions concerning privacy and identity. Authors Kord Davis and Doug Patterson provide methods and techniques to help your business engage in a transparent and productive ethical inquiry into your current data practices.
Both individuals and organizations have legitimate interests in understanding how data is handled. Your use of data can directly affect brand quality and revenue—as Target, Apple, Netflix, and dozens of other companies have discovered. With this book, you’ll learn how to align your actions with explicit company values and preserve the trust of customers, partners, and stakeholders.
- Review your data-handling practices and examine whether they reflect core organizational values
- Express coherent and consistent positions on your organization’s use of big data
- Define tactical plans to close gaps between values and practices—and discover how to maintain alignment as conditions change over time
- Maintain a balance between the benefits of innovation and the risks of unintended consequences
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transparent statements and actions, policies inherently reflect value judgments, but in the vast ma jority of cases, it’s unclear what those values are. The opportunity here is to build stronger brand engagement and customer loyalty. The benefits of big-data innovation must be balanced by understanding the risks of unintended consequences. And organizations must be intentional about the inquiry. Identify and acknowledge gaps between values and actions, and make explicit plans to close them.
emerging legislation, news reports, and blog entries on existing norms and practices for your industry or of similar organizations are a rich source of generating a comprehensive, comparative view of data-handling practices. Action To implement those actions, a Value Persona (explained in the next section) can be a helpful planning tool. And you’re now in familiar territory: running programs and projects, setting and tracking milestones, and measuring performance against defined benchmarks.
. . . . . . . . . . . . . . . . . . . 1 Why Big Data? What Is Big Data Forcing? Big Data Is Ethically Neutral Don’t Tell Me What to Do Important Concepts and Terms 4 5 8 10 11 2. Values and Actions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Articulating Your Values Turning Values into Actions Four Elements of Big-Data Ethics: Identity, Privacy, Ownership, and Reputation Benefits of Ethical Inquiry What Do Values Have to
being told what to do. This book tries to diminish these difficulties. Not because they are difficult (ethical inquiry can be hard work) but because they create barriers to helping organizations benefit from philosophical thinking and inquiry. And there are plenty of benefits. The primary characteristic of my approach was to recognize that business contexts, markets, companies, cultures, geographic distinctions, and organizational size and maturity all contribute to an unwieldy set of complex and