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.
Using Causal Reasoning to Guide Algorithms Toward a Fairer World
- Intermediate
Learning algorithms based on unfair data may introduce or perpetuate a variety of discriminatory biases and thereby maintain the cycle of injustice.
Using p5 with a Screen Reader
- Intermediate
This project is an attempt to level the playing field with people who have low vision or blindness and want to learn to code.
US Outlaws Robocalls That Use AI-Generated Voices
- Intermediate
The FCC has outlawed robocalls that use voices generated by AI, a decision that sends a clear message that exploiting the technology to scam people and mislead voters won’t be tolerated.
Version commentée du standard sur l’accessibilité du multimédia dans un site web (SGQRI 008-03)
Quebec's Standard on the Accessibility of Website Multimedia.
Version commentée du standard sur l’accessibilité d’un site Web (SGQRI 008-01)
Commented version of Quebec's Standard on Website Accessibility.
“Very Emotional”: Brain-Computer Tech Gives Kids With Disabilities New Powers
- Intermediate
Emerging brain-computer interface (BCI) technology is helping children with disabilities in Ontario to connect with the world around them.
Viewing Reports with JAWS Screen Reader in SAS Visual Analytics
- Expert
A video that explains how to use JAWS screen reader and SAS Graphics Accelerator on SAS Visual Analytics.
Viral Post Highlights "Toxicity Problems" in the Machine Learning Community
- Intermediate
A viral post highlights perceived peer review problems, the reproducibility crisis, and ethics and diversity issues in the machine learning community.
Visualizing for the Non‐Visual: Enabling the Visually Impaired to Use Visualization
- Expert
A paper that proposes a deep‐neural‐network‐based approach that automatically recognizes key elements in a visualization, including visualization type, graphical elements, labels, legends, and the original data conveyed in the visualization.
VizWiz
- Expert
A collection of VizWiz publications that focus on computer vision research that involves people who are blind in the collection process.