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.
Disability Ethical? AI
- Intermediate
A website dedicated to addressing inherent biases in AI recruitment and hiring tools, with a focus on disability discrimination.
Disability-Led Innovation: Artificial Intelligence & Automated Hiring Practices
- Intermediate
PEAT’s Disability-Led Innovation report will help you use AI-enabled hiring tools in inclusive ways and promote inclusion in your organization.
Disability Progress Is Real, but So Is Intense Ableism
- Intermediate
Significant progress has been made on disability rights, opportunity, and respect that have improved quality of life for some people with disabilities, but many still struggle with rampant ableism.
Disability Rights Advocates Are Worried about Discrimination in AI Hiring Tools
- Intermediate
This article looks at how people with disability are discriminated against by AI hiring tools. It also talks about the inaction of the federal commission responsible for employment discrimination with respect to implementing regulations.
Disability Rights and Inventing the Accessible Future
- Intermediate
A Sight Tech Global 2020 panel that discusses strategies for creating a future fully accessible to people with disabilities.
Disabled Amazon Workers in Corporate Jobs Allege “Systemic Discrimination”
- Intermediate
Amazon workers claim the company has used AI to deny requests for accommodation and policed an employee Slack channel.
Discriminating Job Applicants through Algorithmic Decision-Making
- Expert
While is it beneficial for companies to rely on AI technology in selecting the right employees, job candidates are negatively impacted by the scrutiny of biased algorithms. Moreover, the authors find that EU laws are ineffective in protecting against this kind of discrimination.
Discriminating Systems: Gender, Race, and Power in AI
- Intermediate
This report provides evidence regarding the lack of diversity, discrimination and inequality in AI systems and the workplace, and offers recommendations to address these issues and the challenges ahead.
Discrimination Act, 2008
The text of Sweden's Discrimination Act.
Discrimination in the Age of Algorithms
- Expert
A legally framed discussion of discrimination and bias within algorithms.