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Learn how to design computer algorithms to be more ethical when making complex decisions.
Overview
Syllabus
Introduction
- Ethical decisionmaking
- 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
- 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
- What does data objectivity mean?
- Ways to think about bias
- How to fix data bias
- Can data be objective?
- What is fairness?
- Next steps
Taught by
Doug Rose
