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.
How Algorithmic Bias Hurts People with Disabilities
- Beginner
An article that outlines the problematic nature of AI-based hiring practices for people with disabilties and other marginalized communities.
How a Popular Medical Device Encodes Racial Bias
- Intermediate
An article about how pulse oximeters give biased results for people with darker skin, which prompted a follow-up study.
How Artificial Intelligence Affects Workers with Disabilities: A New Toolkit for Businesses
- Intermediate
An overview of new resources that can help organizations build inclusive workplaces.
How Artificial Intelligence Creates Discrimination in #HR & #Recruiting
- Intermediate
A podcast that looks at how artificial intelligence systems can be improved to better serve everyone, including people with disabilities.
How a Visual Language Evolves as Our World Does
- Beginner
Learn how American Sign Language has evolved over time and how new technological developments are driving that change in this New York Times interactive article.
How Bad Data Keeps Us from Good AI
- Intermediate
Mainak Mazumdar shows in this TED Talk how less-than-quality data leads to AI that makes wrong decisions and predictions, and he and reveals three infrastructural resets needed to make ethical AI possible.
How Big Tech Is Pitching Digital Elder Care to Families
- Intermediate
Big Tech is offering tools for monitoring the safety of older adults and helping them stay in touch with family, but some privacy advocates worry about data collection and consent.
How Can Organizations Prepare for Generative AI?
- Intermediate
As generative AI becomes increasingly popular, many organizations are unprepared for AI and the risks involved with using such technology.
How Can the AI Sector Improve Diversity Standards?
- Intermediate
In this article, Nikolas Kairinos delves into the difficult subject of diversity standards in the AI space and highlights the importance of transparency.
How Can We Keep Algorithmic Racism Out of Canadian Health Care’s AI Toolkit?
- Intermediate
An article that looks at healthcare's long history of racial biases and how they prevent AI algorithms from giving everyone the best treatment.