Resources
Support your learning through our searchable research library and discover valuable resources about many topics in artificial intelligence and data analytics, such as AI ethics, bias and data tools.
Select the We Count at Large tag to view a selection of speaking engagements and presentations by IDRC team members. Many of these resources showcase the efforts of IDRC Director Jutta Treviranus, whose pioneering work and insights in AI and inclusive AI continue to inspire and lead the field.
Fairlearn: A Toolkit for Assessing and Improving Fairness in AI
- Intermediate
Fairness and Abstraction in Sociotechnical Systems
- Expert
Fairness in AI Based Recruitment and Career Pathway Optimization
- Expert
Fairness Indicators: Scalable Infrastructure for Fair ML Systems
- Expert
Fairness in Machine Learning
- Intermediate
Fairness in Machine Learning Tutorial
- Intermediate
Fair Regression: Quantitative Definitions and Reduction-Based Algorithms
- Expert
Fair, Transparent, and Accountable Algorithmic Decision-Making Processes
- Expert