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.
Why Companies Need Artificial Intelligence Explainability
- Intermediate
Why Data Remains the Greatest Challenge for Machine Learning Projects
- Intermediate
Why Diversity Should Have a Critical Impact on Data Privacy
- Intermediate
Why Does AI Have to Be Nice? Researchers Propose “Antagonistic AI”
- Intermediate
Why Do We Keep Repeating the Same Mistakes on AI?
- Intermediate
Why Eliminating Bias in AI Is Key to Its Success
- Intermediate
Why Everyone Is Mad about New York’s AI Hiring Law
- Intermediate
Why Facebook Shutting Down Its Old Facial Recognition System Doesn’t Matter
- Intermediate
Why Fairness Cannot Be Automated: Bridging the Gap between EU Nondiscrimination Law and AI
- Expert
Why It’s So Damn Hard to Make AI Fair and Unbiased
- Intermediate