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.
How Cognitive Diversity in AI Can Help Close the Disability Inclusion Gap
- Intermediate
This World Economic Forum article discusses the high unemployment rate among people with disabilities and how AI can address the challenges and discrimination that people with disabilities face daily.
How Could Equality and Data Protection Law Shape AI Fairness for People with Disabilities?
- Expert
This article looks at the application of equity law and data protection law governing AI fairness. The article also emphasizes how fairness can provide people with disabilities with new opportunities in advancing their rights.
How Different Groups Prioritize Ethical Values for Responsible AI
- Expert
AI ethics guidelines argue that values such as fairness and transparency are key to the responsible development of AI, but less is known about the values a broader and more representative public cares about. This paper surveys a US-representative sample and AI practitioners about their value priorities for responsible AI.
How Do Fair Decisions Fare in Long-Term Qualification?
- Expert
A paper that studies the dynamics of population qualification and algorithmic decisions to analyze the long-term impact of static fairness constraints on the equality and improvement of group well-being.
How Do You Lip Read a Robot? – Recruitment AI has a Disability Problem
- Intermediate
A webinar that explores the unacknowledged risks to the more than 1.3 billion persons with disabilities that are triggered by the fast-growing use of AI-powered recruitment tools.
How Facebook Got Addicted to Spreading Misinformation
- Intermediate
In this article, read how Facebook's appetite for growth isn't often compatible with making the platform's AI algorithms more responsible, ethical and fair.
How Humans and AI Can Work Together to Create Better Businesses
- Intermediate
Business technologist Sylvain Duranton advocates for a human plus AI approach in his Ted Talk "How Humans and AI Can Work Together to Create Better Businesses."
How I'm Fighting Bias in Algorithms
- Beginner
An introduction to algorithmic bias in machine learning systems, such as facial recognition technologies and predictive policing.
How Innovation Sets Me Backwards
- Intermediate
Technology may be developing at light speed, but not all users, such as those with disabilities, are benefitting from technological advances.
How Microsoft and Google Use AI Red Teams to “Stress Test” Their Systems
- Intermediate
Since 2019, some Big Tech companies, like Microsoft, Google and Meta, have used AI red teams to test their AI systems for bias, security flaws and shortcomings. Find out how they work in this article.