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 under filters to view a selection of the speaking engagements and presentations by the dedicated team members and project collaborators of the Inclusive Design Research Centre (IDRC). While we feature contributions from various experts, most of the resources under this tag showcase the efforts of our esteemed 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 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

Why Does AI Have to Be Nice? Researchers Propose “Antagonistic AI”

Why Do We Keep Repeating the Same Mistakes on AI?

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