Data Ethics: Making Data-Driven Decisions

Learn how to design computer algorithms to be more ethical when making complex decisions.

Introduction

• Ethical decisionmaking

1. Thinking about ethics

• Being a moral company
• How to approach ethics
• Start with ethical objectivism
• Think about your categorical imperatives
• What would a virtuous person do?
• The seven major data ethics challenges

2. Decision Traceability

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

3. Objectivity

• What does data objectivity mean?
• Ways to think about bias
• How to fix data bias
• Can data be objective?
• What is fairness?

Conclusion

• Next steps