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.
Why Everyone Is Mad about New York’s AI Hiring Law
- Intermediate
New York City's new Automated Employment Decision Tool law went into effect in July. It's the first step in regulating AI and is one of the first of its kind in the US, but the new law has been met with significant controversy.
Why Facebook Shutting Down Its Old Facial Recognition System Doesn’t Matter
- Intermediate
Meta is shutting down its controversial facial recognition technology, but that doesn't mean the company doesn't have plans for FRT in its shift to virtual reality. Find out more about the implications of FRT use in this BuzzFeed article.
Why Fairness Cannot Be Automated: Bridging the Gap between EU Nondiscrimination Law and AI
- Expert
This paper looks at the dynamics, in the European context, between the legal community and that technological community in exploring solutions for objectivity and non-discrimination in automated systems. The authors speculate, however, that this might not be achievable within the current legal ambit which does not provide for testing for discrimination in AI systems.
Why Human–AI Relationships Need Socioaffective Alignment
- Expert
A recent paper discusses the increasingly personalized and agentic nature of AI systems has created a shift from transactional interaction to ongoing sustained social engagement with AI, necessitating a new focus on socioaffective alignment.
Why It’s So Damn Hard to Make AI Fair and Unbiased
- Intermediate
Algorithmic fairness is a important, yet difficult to define, term that comes up frequently when discussing AI bias. In this Vox article, discover why tackling AI fairness and bias is "so damn hard."
Why Major Countries Can’t Agree on How to Regulate Artificial Intelligence
- Intermediate
More than 60 nations gathered in Paris February 2025 for an AI summit that was meant to set a global agenda on the rapidly developing technology. Instead, it showed that some are diverging sharply. While the EU has been pursuing aggressive regulation of Big Tech, the Trump administration has made tech deregulation a central part of its agenda.
Why Making AI Safe Isn’t as Easy as You Might Think
- Intermediate
AI experts either believe that AI will improve our lives enormously or destroy us all, which is why the European Parliament's debate on how the technology is regulated is so important.
Why Meta Is Giving Away Its Extremely Powerful AI Model
- Intermediate
With Meta's announcement on making Llama 2 open source, AI developers, researchers and academics are split on the ethics of providing widespread access to AI.
Why Psychometric Tests Should Be Used in the Recruitment Process?
- Intermediate
The writer promotes the use of promotes the use of psychometrics in recruitment and provides an evaluation of the tool.
Why Some Canadian Teachers and Professors Are Inviting ChatGPT into the Classroom
- Intermediate
As ChatGPT use continues, especially by students, these teachers are exploring how ChatGPT can be integrated into the classroom.