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.
The "Perfect" Teaching Assistant? Universities Find New Uses for AI
- Intermediate
With new AI tools available for student use, university instructors are embracing their use in the classroom and view the technology as having "a critical role to play in helping students understand the opportunities and perils that AI tools present."
The Personal Data Protection Bill, 2019
The text of India's Personal Data Protection Bill.
The Problem With Mental Health Bots
- Intermediate
Mental health chatbots are seeing increasing usage, but there currently isn't enough data to show the positives and limitations of therapy bots.
The Promise and Pitfalls of Synthetic Data
- Intermediate
Synthetic datasets, which mimic important properties of real data but don't replicate it, could help ease privacy concerns. These data sets make it harder to re-identify someone by triangulating different pieces of anonymous information, such as their job or health status. Learn more about synthetic datasets in this article.
The Public Sector Bodies (Websites and Mobile Applications) (No. 2) Accessibility Regulations 2018
The text of the UK's Public Sector Bodies Accessibility Regulations.
The Quorum Programming Language
- Intermediate
A programming language designed with human-factors evidence in mind for students with disabilities.
The Race to Build AI That Benefits Humanity with Sam Altman
- Intermediate
In this TED Interview, OpenAI CEO Sam Altman makes a case for AI's potential to make the future better for all of us.
The Race to Provide AI Agents for Tedious Tasks Is On, but Should We Trust Them with Our Data?
- Intermediate
AI agents promise to reinvent how we search online and upgrade AI chatbots, but the technology comes with significant questions about reliability and security.
There Is Hope After All: Quantifying Opinion and Trustworthiness in Neural Networks
- Expert
An article that introduces DeepTrust, a new subjective logic framework that determines the trustworthiness of both data sets and their associated AI algorithms.
The Relationship between Trust in AI and Trustworthy Machine Learning Technologies
- Expert
A paper that explores how machine learning and AI technologies can impact user trust, using trust frameworks drawn from ethics, social sciences, and computing and algorithm design literature.