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.
Distinguishing the Knowable from the Unknowable with Language Models
- Expert
A new paper by the Kempner Institute delves into LLM hallucination and how to better determine algorithmic uncertainty.
Distinguishing the Knowable from the Unknowable with Language Models (Overview)
- Intermediate
A new paper by the Kempner Institute delves into LLM hallucination and how to better determine algorithmic uncertainty. Read the summary.
Documents Relevant to EN 301 549 Accessibility Requirements Suitable for Public Procurement of ICT Products and Services in Europe
Outlines the accessibility requirements for public procurement of ICT products and services in Europe.
Do Hiring Algorithms Prevent Bias or Amplify It and How to Get It Right?
- Intermediate
This article considers the potential points of entry where bias can be introduced into AI technology. It also proposes ways to mitigate bias in the recruitment process.
Don't Believe Every AI You See
- Intermediate
A blog post created to spark larger discussions in the data science community around ethically assessing AI technologies.
Draft AI R&D Guidelines for International Discussions
This draft is prepared as a basis for international discussions at G7 and OECD regarding matters expected to be considered in R&D activities for promoting the benefits and reducing the risks of AI.
Draw Entity-Relationship Diagrams, Painlessly
- Intermediate
A free, simple tool to draw ER diagrams by just writing code. Designed for developers and data analysts.
During National AccessAbility Week, Advocates Say Ontario Has a Long Way to Go
- Intermediate
Ontario says it's made extensive investments in infrastructure to improve accessibility, but advocates say the province needs to do more to achieve its goal of making Ontario fully accessible by 2025.
E-20.1 – Act to Secure Handicapped Persons in the Exercise of Their Rights with a View to Achieving Social, School and Workplace Integration
The text of Quebec's E-20.1.
Economic Theories of Distributive Justice for Fair Machine Learning
- Expert
An overview of fair machine learning through the ethical lens of prominent economic theories of distributive justice.