What are Ethics?-What are Ethics?
Course Syllabus
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What are Ethics? - Introduction
Data Science Ethics - Course Preview
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What are Ethics?
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Data Science Needs Ethics
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Case Study: Spam (not the meat)
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History, Concept of Informed Consent-History, Concept of Informed Consent
Human Subjects Research and Informed Consent: Part 1
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Human Subjects Research and Informed Consent: Part 2
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Limitations of Informed Consent
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Case Study: It's Not OKCupid
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Data Ownership-Data Ownership
Data Ownership
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Limits on Recording and Use
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Data Ownership Finale
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Case Study: Rate My Professor
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Case Study: Privacy After Bankruptcy
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Privacy-Privacy
Privacy - Introduction
Privacy
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History of Privacy
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Degrees of Privacy
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Modern Privacy Risks
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Case Study: Targeted Ads
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Case Study: The Naked Mile
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Case Study: Sneaky Mobile Apps
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Module 4 Discussion Prompt References
Anonymity-Anonymity
Anonymity
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De-identification Has Limited Value: Part 1
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De-identification Has Limited Value: Part 2
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Case Study: Credit Card Statements
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Data Validity-Data Validity
Data Validity - Introduction
Validity
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Choice of Attributes and Measures
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Errors in Data Processing
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Errors in Model Design
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Managing Change
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Case Study: Three Blind Mice
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Case Study: Algorithms and Race
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Case Study: Algorithms in the Office
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Case Study: GermanWings Crash
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Case Study: Google Flu
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Algorithmic Fairness-Algorithmic Fairness
Algorithmic Fairness - Introduction
Algorithmic Fairness
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Correct But Misleading Results
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P Hacking
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Case Study: High Throughput Biology
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Case Study: Geopricing
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Case Study: Your Safety Is My Lost Income
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Societal Consequences-Societal Consequences
Societal Consequences - Introduction
Societal Impact
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Ossification
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Surveillance
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Case Study: Social Credit Scores
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Case Study: Predictive Policing
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Code of Ethics-Code of Ethics
Code of Ethics
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Wrap Up
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Case Study: Algorithms and Facial Recognition
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Post-Course Survey
Attributions-Attributions
Week 1 Attributions
Week 2 Attributions
Week 3 Attributions
Week 4 Attributions
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