Data Ethics: Making Data-Driven Decisions
1h 5mBeginner2022-02-15
Authors

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
Related courses
- Decision Intelligence: Data Stories
- Analyzing Data with an Equity Lens
- Data Literacy: Exploring and Describing Data
- Becoming a Good Data Science Customer
- Managing AI Risks: 8 Common Mistakes to Avoid at Work
- Preparing HR Teams for Agentic AI
- AI Fundamentals for Data Professionals
- Hands-On with OpenAI Reasoning Models
Related learn paths
- Mastering Data Governance and Ethics
- Introduction to Fundamental Skills for Data Work: Data Strategy and Planning
- Build Essential Data Skills
- Become a Data Analyst
- Become a Business Intelligence Specialist
- Generative AI for Recruiting Professional Certificate by LinkedIn Learning
- Developing AI Skills in Human Resources
- Data Science Professional Certificate by KNIME