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Book Description

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.

Table of Contents

  1. Ethics of Big Data
  2. Dedication
  3. SPECIAL OFFER: Upgrade this ebook with O’Reilly
  4. Preface
    1. Conventions Used in This Book
    2. Using Code Examples
    3. Safari® Books Online
    4. How to Contact Us
    5. Acknowledgments
  5. 1. Big Data, Big Impact
    1. Why Big Data?
    2. What Is Big Data Forcing?
    3. Big Data Is Ethically Neutral
    4. Don’t Tell Me What to Do
    5. Important Concepts and Terms
  6. 2. Values and Actions
    1. Articulating Your Values
    2. Turning Values into Actions
      1. Four Elements of Big-Data Ethics: Identity, Privacy, Ownership, and Reputation
        1. Identity
        2. Privacy
        3. Reputation
        4. Ownership
      2. Benefits of Ethical Inquiry
      3. What Do Values Have to Do with Anything?
    3. Ethical Decision Points
      1. What Does All That Really Mean?
  7. 3. Current Practices
    1. Findings Summary
      1. Buying Versus Selling
      2. Opt-in Versus Opt-out
      3. Correlation Through Aggregation
      4. Data Ownership
      5. Manifestation of Values
      6. Ethical Incoherence
      7. A Policy By Any Other Name…
      8. Cultural Values
      9. So What Did We Learn?
  8. 4. Aligning Values and Actions
    1. Methods and Tools
    2. Alignment Methodology Framework
      1. Inquiry
      2. Analysis
        1. Data-handling audit
        2. Data-handling practices
      3. Articulation
      4. Action
      5. Value Personas
        1. Turning discussion into action
      6. Global Data Management: A Case Study
      7. Benefits of Alignment
  9. About the Authors
  10. SPECIAL OFFER: Upgrade this ebook with O’Reilly
  11. Copyright
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