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LinkedIn Learning

Data Ethics: Watching Out for Data Misuse

via LinkedIn Learning

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Overview

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Find out how data ethics may impact data misuse, accuracy, and data models and how you can discuss these issues in a way that's both meaningful and productive.

Syllabus

Introduction
  • Data accuracy and misuse
1. Thinking about Ethics
  • What are your ethical duties?
  • Do the ends justify the means?
  • How to be a virtuous organization
  • Create an ethical contract
2. Data Misuse
  • Data misuse
  • When your customer misuses the data
  • Is it ethical to micro-target?
  • Can you exploit human needs?
  • How to ethically engage your customer
  • Should you promote democracy?
3. Accuracy
  • What does it mean to be accurate?
  • Should you present the truth?
  • What to do with fake news
  • What to do if your customer spreads propaganda
  • The danger of too much accuracy
4. Data Models
  • What are data models?
  • Your customer could game the system
Conclusion
  • Next steps

Taught by

Doug Rose

Reviews

4.7 rating at LinkedIn Learning based on 166 ratings

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