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