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.
AI in Hiring Might Do More Harm than Good
- Intermediate
An article about how AI hiring tools claim to reduce bias in hiring by incorporating machine-based decisions, but at least in its early stages, AI hiring strategies have the potential to hurt DEI in your organization.
AI in the Headlines: The Portrayal of the Ethical Issues of Artificial Intelligence in the Media
- Intermediate
A systematic review of the media portrayal of the ethical issues of AI that aims to better understand how media coverage of these issues may shape public debate about AI.
AI Is Already Screening Job Resumes ... and Even Determining Medical Care with Almost No Oversight
- Intermediate
Even though a number of AI systems have been identified as biased, their pervasiveness has remained largely unchecked by government agencies.
AI Is Dangerous, but Not for the Reasons You Think
- Intermediate
In this Ted Talk, AI ethics researcher Sasha Luccioni explains that we need to focus on AI's current negative impacts, like emitting carbon, infringing copyrights and spreading biased information, rather than getting distracted by future existential risks. She suggests inclusive and transparent solutions to regulate our AI-filled future.
AI Is the Future of Hiring, but It’s Far from Immune to Bias
- Beginner
In this article, Ghosh looks at algorithmic discrimination inadvertently propagated through the use of AI.
AI Language Models: Technological, Socio-Economic and Policy Considerations
- Intermediate
A new OECD paper offers an overview of the AI language model and NLP landscape with current and emerging policy responses from around the world and explores the basic building blocks of language models from a technical perspective using the OECD Framework for the Classification of AI Systems.
AI Large Language Models: New Report Shows Small Changes Can Reduce Energy Use by 90%
- Intermediate
New research from UNESCO and UCL advocates for a pivot away from resource-heavy AI models in favour of more compact models.
AI Laws Are Coming
An article about the steps governments around the world are taking to ensure that existing laws and regulations remain relevant in the face of technology change and can deal with new, emerging challenges posed by AI.
AI Liability Directive
- Expert
The EU AI Liability Directive puts checks on companies that deploy discriminatory AI and requires additional layers of protection for high-stakes users, such as HR-recruitment. It also makes it easier for people to litigate for damages.
AI Met Fruit Fly, and a Better Brain Model Emerged
- Intermediate
AI systems need to be more energy efficient, and a fruit fly virtual brain network might be the key to making those changes happen.