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Data Ethics: Making Data-Driven Decisions

Data Ethics: Making Data-Driven Decisions

1h 5mBeginner2022-02-15

Authors

Doug Rose

Doug Rose

Teaching Fortune 500s and professionals how to lead change

Course details

Most companies have complex computer algorithms deciding who gets a bank loan, job interview, or health insurance. Do you have an ethical obligation to explain the decision-making back to your customer? How do you design systems that are free of gender or racial bias? These systems will define your organization. Yet many of these decisions aren’t happening in the boardroom. Instead they’re made in much smaller meetings with people just like you—project managers, business analysts, directors, and software developers. This course gives you the skills you need to make the best decisions. Instructor Doug Rose helps you consider the duties you have to your customer, think about the consequences of your algorithms’ decisions, and acting virtuously when wrestling with key data ethics challenges.

Skills covered

Data GovernanceData PrivacyDecision-MakingBusiness AnalyticsData ScienceProfessional DevelopmentLeadership and ManagementOne-Off

Concepts

0. Introduction

  • 01 - Ethical decisionmaking

1. Thinking about ethics

  • 02 - Being a moral company
  • 03 - How to approach ethics
  • 04 - Start with ethical objectivism
  • 05 - Think about your categorical imperatives
  • 06 - What would a virtuous person do
  • 07 - The seven major data ethics challenges

2. Decision Traceability

  • 08 - The right to algorithmic traceability
  • 09 - Data accessibility and comprehensibility
  • 10 - Can anyone access their data
  • 11 - Trace your black box decisions
  • 12 - Open the box with Explainable AI (XAI)
  • 13 - Self-driving cars' trolley problem
  • 14 - Decide how to crash a self-driving car

3. Objectivity

  • 15 - What does data objectivity mean
  • 16 - Ways to think about bias
  • 17 - How to fix data bias
  • 18 - Can data be objective
  • 19 - What is fairness

Conclusion

  • 20 - Next steps

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