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The Data Renaissance

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The Data Renaissance

The Data Renaissance delves into the complexities of data's role in various industries and its broader impact on society. It highlights the challenges in investigating data practices, citing examples like TikTok, where algorithms and data handling are closely guarded secrets. The content, contributed by students under the guidance of an expert, covers a wide range of topics, including the ethical aspects of generative AI in education and the workplace.

Artificial IntelligenceEngineering
Author
J.J. Sylvia IV
Publisher
Fitchburg State University
Source
LibreTexts
License
CC BY-NC-SA
Language
EN
Category
Information Technology
Read online Download PDF (open licence)
Contents· 118 sections
  1. 01: Why Care About Data and Society
  2. 1.01: Introduction
  3. 1.02: A Constitutional Right to Privacy
  4. 1.03: Little Brother
  5. 1.04: Becoming Data
  6. 1.05: A B and Multivariate Testing
  7. 1.06: Big Data
  8. 1.07: An Open Question
  9. 1.08: References
  10. 02: Generative AI in the Classroom and Workspace
  11. 2.01: Generative AI Pre-Test
  12. 2.02: How Generative AI Works
  13. 2.03: Differences Between ChatGPT 3 and 4
  14. 2.04: Links to Tools
  15. 2.05: Prompt-Writing Tips
  16. 2.06: AI Career Research
  17. 2.07: Hands-on Project
  18. 2.08: Discussion or Reflection Questions
  19. 2.09: Language Diversity Inclusivity and ChaptGPT
  20. 2.10: Post-Test and Survey
  21. 2.11: Wrap-up
  22. 2.12: Further Reading
  23. 03: Case Study- It's Perfect Four Stars
  24. 3.01: Human Commerce
  25. 3.02: Living and Dying by the Algorithms
  26. 3.03: The Fault in Our Stars
  27. 3.04: Who Rates the Rater
  28. 3.05: The Shift to Objective Stars
  29. 3.06: Who Are We Rating
  30. 3.07: Conclusion
  31. 04: Media and Data Literacy
  32. 4.01: Introduction
  33. 4.02: Media Literacy
  34. 4.03: Challenges with Media Literacy
  35. 4.04: Data Literacy
  36. 4.05: Similarities
  37. 4.06: Understanding Data Literacy Skills
  38. 4.07: Media Literacy and Data Literacy Skills
  39. 4.08: Wrap Up
  40. 4.09: References
  41. 05: The American Motion Picture Industry and Big Data
  42. 5.01: Introduction
  43. 5.02: Predicting Box-Office Success in the Film Industry
  44. 5.03: Big Data in the Film Industry
  45. 5.04: How Data Has Been Used in the Film Industry
  46. 5.05: Into the Future
  47. 5.06: The Advantages of Big Data in the Film Industry
  48. 5.07: The Limitations of Big Data in the Film Industry
  49. 5.08: Outlook
  50. 5.09: Conclusion
  51. 5.10: Wrap up
  52. 5.11: References
  53. 06: Data in Sports Marketing
  54. 6.01: Introduction
  55. 6.02: Understanding Big Data
  56. 6.03: Sources of Data in Sports Marketing
  57. 6.04: Data and Target Audience
  58. 6.05: Data Used for Revenue
  59. 6.06: Data Used for Campaigns
  60. 6.07: The Future of Sports Marketing
  61. 6.08: Conclusion
  62. 6.09: Wrap Up
  63. 6.10: References
  64. 07: Data in Public Relations Social Media and Advertising
  65. 7.01: Key Essentials
  66. 7.02: Big Data
  67. 7.03: Wrap Up
  68. 7.04: References
  69. 08: Machine Learning in the Development of Video Games
  70. 8.01: Introduction
  71. 8.02: Types of Learning
  72. 8.03: Modern Applications of AI in Games
  73. 8.04: Cheat Detection
  74. 8.05: New Page
  75. 8.06: New Page
  76. 8.07: New Page
  77. 09: The Use of Matchmaking Data for Competitive Online Multiplayer Gaming
  78. 9.01: Introduction
  79. 9.02: The Matchmaking Process
  80. 9.03: Analyzing Other Approaches
  81. 10: Video Games Microtransactions and Data
  82. 10.01: Introduction
  83. 10.02: How Common are Microtransactions
  84. 10.03: A Brief History
  85. 10.04: How Quickly Can it Add Up
  86. 10.05: Impact of Microtransactions
  87. 10.06: New Page
  88. 10.07: New Page
  89. 10.08: New Page
  90. 11: Artificial Intelligence in Strategic Communication
  91. 11.01: Introduction
  92. 11.02: AI and Society
  93. 11.03: Enhancing Creativity and Productivity with AI
  94. 11.04: AI for Image Creation and Decision Making
  95. 11.05: AI Tools and Applications for Social Media
  96. 11.06: Legal and Social Implications of AI
  97. 11.07: AI Ethics- Privacy Security and Bias
  98. 11.08: The Future of AI and Jobs
  99. 11.09: New Page
  100. 12: SOPHIA Discussion Guides
  101. 12.01: Ethics of Search Engines
  102. 12.02: COVID-19- Surveillance and Personal Privacy
  103. 12.03: AI and Ethics- A Discussion
  104. 12.04: The Ethics of Fake News
  105. 12.05: The Ethics of Social Media Use By Children
  106. 13: Data Feminism- The Numbers Dont Speak for Themselves
  107. 13.01: Principle- Consider Context
  108. 13.02: Wrap Up
  109. 14: Algorithms in the Age of Capitalism
  110. 14.01: What Is an Algorithm
  111. 14.02: Complications with Algorithmic Systems
  112. 14.03: What is Algorithmic Accountability
  113. 14.04: New Page
  114. 14.05: New Page
  115. 15: Recommended Reading (and Listening Viewing)
  116. 15.01: Original Contributors
  117. 15.02: Grant Information
  118. 15.03: Version History