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.
Jutta Treviranus: Using Inclusive Design to Remove AI Bias
- Intermediate
Our director, Jutta Treviranus, chats with the hosts of the Remarkable Insights podcast about how inclusive AI design can shape a fairer world.
K-12 Schools Are No Strangers to AI. But Inconsistent Policies Are Making It Trickier to Navigate
- Intermediate
Provinces and territories have been slow to provide guidance for teachers on the use of AI in the classroom.
Keyboard Shortcuts in Jupyter Lab
- Expert
Instructions for accessing keyboard shortcuts for Jupyter Notebook that can also be used in Jupyter Lab.
Keyboard Shortcuts in Jupyter Notebook
- Expert
Instructions for using keyboard shortcuts in Jupyter Notebook.
Keyboard Shortcuts in Power BI Desktop
- Expert
This article features tables that describe the shortcuts available in a Power BI report.
Knowledge Design — Towards an Inclusive, AI Design Practice
- Expert
This article demonstrates how using a co-creative model, virtual meetings and physical engagement in AI design research can be more inclusive for those who do not traditionally participate due to race, gender, computer literacy and geography.
Knowledge, Workflow, Oversight: A Framework for Implementing AI Ethics
- Expert
This article offers a framework for helping organizations develop AI more responsibly.
Labor Contract Law of the People’s Republic of China (2012 Amendment)
The text of China's Labor Contract Law.
Large Language Models Have a Reasoning Problem
- Intermediate
This TechTalks article discusses large language models, how they operate and potential pitfalls.
Large-Scale Pathology Foundation Models Show Promise on a Variety of Cancer-Related Tasks
- Intermediate
Microsoft Research and Paige have collaborated on Virchow2 and Virchow2G, two second-generation foundation models for computational pathology that have been trained on the largest known digital pathology dataset.