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Chapter 9 The Human Affair with Data, the Challenges It Creates, Ways to Solve These Challenges, and Future Outlook

  • Moran Cerf
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Biometrics and Neuroscience Research in Business and Management
Ein Kapitel aus dem Buch Biometrics and Neuroscience Research in Business and Management

Abstract

This chapter explores the human relationship with data, particularly biometrics data and wearable technologies. It discusses the potential benefits and challenges associated with data collection, highlighting the risks of misuse by both benevolent and nefarious actors. The chapter examines the technical and organizational barriers to implementing data security measures and proposes solutions such as federated learning and differential privacy to protect user privacy while still enabling data analysis. It also addresses the lack of public demand for privacy solutions and suggests the need for external entities to represent users’ privacy interests. The chapter emphasizes the importance of finding a balance between data usefulness and privacy/security concerns and presents examples of high-resolution data collection and the potential for increased intrusiveness in the future. It discusses the role of artificial intelligence in data collection and its implications for privacy. The chapter concludes by advocating for a combination of user education, advanced privacy technology, and strict regulation to address the challenges of biometrics data and protect user privacy. It also raises ethical questions related to data sharing, personal autonomy, and informed consent. Overall, the chapter calls for a comprehensive approach to managing biometrics data in an increasingly data-driven world.

Abstract

This chapter explores the human relationship with data, particularly biometrics data and wearable technologies. It discusses the potential benefits and challenges associated with data collection, highlighting the risks of misuse by both benevolent and nefarious actors. The chapter examines the technical and organizational barriers to implementing data security measures and proposes solutions such as federated learning and differential privacy to protect user privacy while still enabling data analysis. It also addresses the lack of public demand for privacy solutions and suggests the need for external entities to represent users’ privacy interests. The chapter emphasizes the importance of finding a balance between data usefulness and privacy/security concerns and presents examples of high-resolution data collection and the potential for increased intrusiveness in the future. It discusses the role of artificial intelligence in data collection and its implications for privacy. The chapter concludes by advocating for a combination of user education, advanced privacy technology, and strict regulation to address the challenges of biometrics data and protect user privacy. It also raises ethical questions related to data sharing, personal autonomy, and informed consent. Overall, the chapter calls for a comprehensive approach to managing biometrics data in an increasingly data-driven world.

Kapitel in diesem Buch

  1. Frontmatter I
  2. Foreword VII
  3. Preface IX
  4. Contents XIII
  5. Part I: Biometrics
  6. Chapter 1 Introduction 1
  7. Chapter 2 Using Neuroscience and Biometrics in Individuals and Organizations 13
  8. Chapter 3 Using Sensory Substitutions to Make Better Business Decisions (or How Sensory Devices Connected to Our Body Can Help Us Outperform AI and Common Data Analytics) 37
  9. Chapter 4 Leaked Expressions Captured with Wearable High-Resolution Facial Electromyography 83
  10. Chapter 5 Facial Expressions and Recognition for the Communication of Thoughts and Emotions in Business and Marketing 99
  11. Chapter 6 Human Feedback: A Review of Advanced Studies in Facial Expressions and Their Applications in Business 117
  12. Chapter 7 Using Virtual Reality for Leadership Assessment and Training Through Behavioral Biomarkers 141
  13. Chapter 8 Biometrics, Privacy, and Authentication 171
  14. Chapter 9 The Human Affair with Data, the Challenges It Creates, Ways to Solve These Challenges, and Future Outlook 185
  15. Chapter 10 Using Biometrics in Healthcare Management and Diagnostics 195
  16. Part II: Neuroscience
  17. Chapter 11 Brain’s Valuation Networks and Consumer Neuroscience Methods in the Fuzzy Front-End of the Innovation Process 207
  18. Chapter 12 The Dynamics of Neuromarketing: Publication, Collaboration, and Topic Prominence 223
  19. Chapter 13 Using Neuroscience to Understand Consumers 245
  20. Chapter 14 Uncovering Consumers’ Subconscious Responses to Marketing Stimuli 279
  21. Chapter 15 Combined Use of Neuroscience and Virtual Reality for Business Applications 295
  22. Chapter 16 On the Ways by Which AI Can Revolutionize the Usage of Biometrics in Business 317
  23. Chapter 17 The Future of Neuroscience and Biometrics in Business 333
  24. List of Figures 341
  25. List of Tables 343
  26. About the Editors 345
  27. Index 347
https://doi.org/10.1515/9783110708509-009

Kapitel in diesem Buch

  1. Frontmatter I
  2. Foreword VII
  3. Preface IX
  4. Contents XIII
  5. Part I: Biometrics
  6. Chapter 1 Introduction 1
  7. Chapter 2 Using Neuroscience and Biometrics in Individuals and Organizations 13
  8. Chapter 3 Using Sensory Substitutions to Make Better Business Decisions (or How Sensory Devices Connected to Our Body Can Help Us Outperform AI and Common Data Analytics) 37
  9. Chapter 4 Leaked Expressions Captured with Wearable High-Resolution Facial Electromyography 83
  10. Chapter 5 Facial Expressions and Recognition for the Communication of Thoughts and Emotions in Business and Marketing 99
  11. Chapter 6 Human Feedback: A Review of Advanced Studies in Facial Expressions and Their Applications in Business 117
  12. Chapter 7 Using Virtual Reality for Leadership Assessment and Training Through Behavioral Biomarkers 141
  13. Chapter 8 Biometrics, Privacy, and Authentication 171
  14. Chapter 9 The Human Affair with Data, the Challenges It Creates, Ways to Solve These Challenges, and Future Outlook 185
  15. Chapter 10 Using Biometrics in Healthcare Management and Diagnostics 195
  16. Part II: Neuroscience
  17. Chapter 11 Brain’s Valuation Networks and Consumer Neuroscience Methods in the Fuzzy Front-End of the Innovation Process 207
  18. Chapter 12 The Dynamics of Neuromarketing: Publication, Collaboration, and Topic Prominence 223
  19. Chapter 13 Using Neuroscience to Understand Consumers 245
  20. Chapter 14 Uncovering Consumers’ Subconscious Responses to Marketing Stimuli 279
  21. Chapter 15 Combined Use of Neuroscience and Virtual Reality for Business Applications 295
  22. Chapter 16 On the Ways by Which AI Can Revolutionize the Usage of Biometrics in Business 317
  23. Chapter 17 The Future of Neuroscience and Biometrics in Business 333
  24. List of Figures 341
  25. List of Tables 343
  26. About the Editors 345
  27. Index 347
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Heruntergeladen am 9.10.2025 von https://www.degruyterbrill.com/document/doi/10.1515/9783110708509-009/html
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