Practical Steps for Building Fair AI Algorithms
Completed by Kathryn Grace Tolan
January 2, 2024
5 hours (approximately)
Kathryn Grace Tolan's account is verified. Coursera certifies their successful completion of Practical Steps for Building Fair AI Algorithms
What you will learn
Understand widely used definitions of fairness and bias
Master principles to follow when training models
Design a healthcare algorithm
Reason about challenging algorithmic fairness dilemmas
Skills you will gain
- Category: Model Evaluation
- Category: LLM Application
- Category: Health Equity
- Category: Responsible AI
- Category: Ethical Standards And Conduct
- Category: Data Collection
- Category: Case Studies
- Category: AI literacy
- Category: Record Keeping
- Category: Diversity Awareness
- Category: Decision Intelligence
- Category: Predictive Analytics
