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 Ethics: Global Perspectives
- Intermediate
Learn more about the societal impacts of technology and responsible AI through the AI Ethics course, which features 19 modules with video lectures by leading experts.
AI Ethics: How Can AI Be Made More Trustworthy?
- Intermediate
An overview of new methods that are being developed for determining the trustworthiness of AI algorithms.
AI Experts Question Tech Industry’s Ethical Commitments
- Intermediate
The writer makes the argument that with the proliferation of AI ethics, the consensus is that they are exceedingly abstract in nature, and so to operationalize them in any meaningful way would be quite difficult.
AI, Fairness and Bias: What Technologists and Advocates Need to Do to Ensure That AI Helps Instead of Harms People with Disabilities
- Intermediate
A Sight Tech Global 2020 panel that looks at examples of where AI technologies inject bias against people with disabilities and offers approaches to help address these issues from the ground up.
AI Fairness for People with Disabilities: Point of View
- Intermediate
A discussion of the challenges persons with disabilities face with current AI systems and the approaches that need to be adopted to ensure fairness in AI development.
AI Fairness Requires Fighting Bias with Bias
- Intermediate
This VentureBeat article explores a shift in approach for the way we tackle bias in AI. Instead of eliminating bias, the author proposes that increasing the right kind of bias should be the goal, instead of eliminating it.
AI for Accessibility Grants
- Beginner
A Microsoft program that focuses on addressing 3 challenges in AI: employment, daily life, and communication and connection.
AI for Disability Inclusion Enabling Change with Advanced Technology
- Intermediate
This article looks at some of the ways that organizations can use AI to its maximum advantage. To this end, they effectively screen for bias and adapt RAIS (Responsible, Accessible, Inclusive, Secure) principles to guide decisions about AI and thereby improve inclusion.
AI for Good Is Often Bad
- Intermediate
An opinion piece that argues for increased scrutiny and transparency for AI for good programs to mitigate risk.
AI for Inclusion: Strengthening Workforce Participation for Persons with Disabilities
- Expert
Jutta Treviranus and other experts offer strategic insights and concrete solutions to ensure that AI-driven employment processes remove barriers rather than create new ones at the UN's Artificial Intelligence for Inclusion conference.