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.
Guide on the Use of Generative AI
- Intermediate
The Government of Canada has released guidelines for the use of generative AI in GC institutions, focusing on responsible use and best practices.
Guide to Adopting an ICT Accessibility Procurement Policy
The objective of this guide is to help cities adopt a policy that requires that any ICT purchases be accessible to persons with disabilities and older persons.
Hack Weeks as a Model for Data Science Education and Collaboration
- Expert
A look at how hack weeks present an effective, easy-to-implement, fairly low-cost tool that can positively impact data analysis literacy in academic disciplines, foster collaboration, and cultivate best practices.
Hard Choices: AI in Health Care
- Intermediate
A Yale Medicine article examines how healthcare professionals, organizations and patients will face progressively more complex moral questions as AI systems become more advanced and widely used
Harnessing AI Responsibly: AI Tools Radar for the Public Sector, Media, and Judiciary
- Intermediate
UNESCO and the International Research Centre on Artificial Intelligence (IRCAI) have developed the AI Tools Radar to improve access to and use of AI tools and applications. The AI Tools Radar is a multilingual online repository that can help organizations and professionals in the public sector, media, and judiciary identify, assess, and adopt AI tools that are aligned with their specific operational needs.
Health Care AI Systems Are Biased
- Intermediate
An article about AI bias in healthcare that stresses the importance of using diverse data when training medical AI algorithms.
Health Insurance Portability and Accountability Act of 1996
The text of the US's Health Insurance Portability and Accountability Act.
Here’s How an Algorithm Guides a Medical Decision
- Beginner
Discover how AI algorithms can guide medical decisions in this Verge article.
Here’s What California Employers Should Know About CCPA Compliance
An article that provides an overview for employers in California about CCPA compliance.
Hewlett Foundation Education Grantee Convening — Our Experiences and Learnings
- Intermediate
Jutta Treviranus was a panelist at the Hewlett Foundation Education Grantee Convening, discussing how to design inclusive AI.