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.
Algorithms, Artificial Intelligence, and Disability Discrimination in Hiring
- Beginner
Want to learn how algorithms and artificial intelligence can lead to disability discrimination in hiring and how employers can avoid it? Check out this ADA resource.
Algorithms, Artificial Intelligence, and Disability Discrimination in Hiring
- Intermediate
ADA guidance that explains how algorithms and artificial intelligence can lead to disability discrimination in hiring.
Algorithms Behaving Badly: 2020 Edition
- Intermediate
A look at some of the big issues with algorithms in 2020, taken from a myriad of examples of algorithms that were either created for a cynical purpose, functioned to reinforce racism, or spectacularly failed to fix the problems they were built to solve.
All about OpenAI’s Dramatic Firing and Rehiring of CEO and Why It Could Mean Greater Scrutiny
- Intermediate
Sam Altman and Greg Brockman returned to OpenAI with a new initial board. Here's the breakdown of the OpenAI saga and what could be in the works for the company and for the AI industry.
“All About Us”: Indigenous Data Analysis Workshop — Capacity Building in the Canadian Alliance for Healthy Hearts and Minds First Nations Cohort
- Expert
This article describes a three-day workshop with university researchers and several First Nation communities to increase the capacity for data management and analysis by those communities.
All the Ways Hiring Algorithms Can Introduce Bias
- Intermediate
This article reviews the biases that algorithms introduce to the hiring process. For example, replicating institutional and historical biases, which intensifies disadvantages in the data set.
A Local Law to Amend the Administrative Code of the City of New York, in Relation to Automated Employment Decision Tools
The text of New York City's Law 2021/144.
A Math Idea That May Dramatically Reduce the Dataset Size Needed to Train AI Systems
- Intermediate
An article that describes how a pair of statisticians at the University of Waterloo have proposed a math process idea that may allow AI systems to be taught without the use of a large dataset.
Amazon Knows More about You Than Your Best Friend or Your Doctor
- Intermediate
A CBC documentary reveals how our online behaviour can tell Amazon more than we think, which could have a big impact on our lives.
Amazon SageMaker Clarify Aims to Mitigate Bias in Machine Learning
- Intermediate
An article about AWS's latest efforts to tackle machine learning bias in the form of a new tool that works with Amazon SageMaker products to help developers and users better detect and eliminate AI bias.