Turing Lecture - Algorithmic Accountability - Professor Ben Shneiderman, University of Maryland

Turing Lecture - Algorithmic Accountability - Professor Ben Shneiderman, University of Maryland

Alan Turing Institute via YouTube Direct link

Big Data

3 of 29

3 of 29

Big Data

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Turing Lecture - Algorithmic Accountability - Professor Ben Shneiderman, University of Maryland

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  1. 1 Introduction
  2. 2 Information Visualization
  3. 3 Big Data
  4. 4 Weapons of Mass Destruction
  5. 5 Enhancing Human Control
  6. 6 People Not Apps
  7. 7 Responsibility
  8. 8 Statement of Principles
  9. 9 Awareness
  10. 10 Data provenance
  11. 11 Independent oversight
  12. 12 National algorithm safety book
  13. 13 Planning oversight
  14. 14 Continuous monitoring
  15. 15 retrospective analyses
  16. 16 summary
  17. 17 how to ensure human control
  18. 18 Clarify responsibility
  19. 19 Questions
  20. 20 Algorithms
  21. 21 Modular Design
  22. 22 Explainable AI
  23. 23 Safe vs Dangerous Algorithms
  24. 24 Meaningful Control
  25. 25 Liability
  26. 26 Ethically aligned design
  27. 27 Audience questions
  28. 28 Algorithms vs humans
  29. 29 Big corporations vs small companies

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