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.

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Why AI Governance Is Important for Building More Trustworthy, Explainable AI

Why AI Is a Know-It-All Know Nothing

Why Algorithmic Auditing Can’t Fully Cope with AI Bias in Hiring

Why Are Artificial Intelligence Systems Biased?

Why Are We Using Black Box Models in AI When We Don’t Need To? A Lesson from an Explainable AI Competition

Why Businesses Need Explainable AI—and How to Deliver It

Why Companies Are Thinking Twice about Using Artificial Intelligence

Why Companies Need Artificial Intelligence Explainability

Why Data Remains the Greatest Challenge for Machine Learning Projects

Why Diversity Should Have a Critical Impact on Data Privacy

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