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10:16 Conclusion: Building Trustworthy Systems
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Classroom Contents
Addressing Privacy, Bias, and Fairness in AI Systems
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- 1 00:00 Introduction to Ethical Data Engineering
- 2 00:47 The Era of Exponential Data Growth
- 3 01:05 Case Studies: Data Failures and Bias
- 4 03:03 Privacy-Preserving Techniques
- 5 04:03 Addressing Algorithmic Bias
- 6 04:55 Case Studies: Real-World Applications
- 7 06:39 Implementing Ethical Gates
- 8 07:20 Documentation and Transparency
- 9 08:11 Interdisciplinary Collaboration
- 10 08:54 Automating Ethical Checks
- 11 09:42 Regulations and Compliance
- 12 10:16 Conclusion: Building Trustworthy Systems
