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.
Algorithmic and AI Assessment Tools — A New Frontier in Disability Discrimination
- Intermediate
An article that delves into the use of software algorithms to assist in organizational decision-making and their potential negative impact on minority populations.
Algorithmic Bias in Current Hiring Practices: An Ethical Examination
- Expert
This paper examines the ethical issues around automated recruitment practices and the risks of algorithmic biases involved. The authors argue that these risks should be taken seriously and that the risks are not inevitable but can be mitigated with effective audit and transparency.
Algorithmic Diversity: Mitigating AI Bias And Disability Exclusion
- Intermediate
Explore how AI bias has created disability exclusion and how AI systems can be improved to reduce bias in this Forbes article.
Algorithmic Fairness with Alice Xiang – Intel on AI – Season 2, Episode 12
- Intermediate
In this podcast episode, Alice Xiang and Abigail Hing Wen discuss the goals of the Partnership on AI, why being able to explain how a model arrived at a specific decision is important for the future of AI adoption, and the proliferation of criminal justice risk assessment tools.
Algorithmic Fair Use
- Expert
This article discusses the legal challenges that have developed around using algorithms, which are subject to bias decisions and biased data, to detect copyright infringement in a multimedia environment and the subjectiveness in judging "fair use."
Algorithmic Governance and the State of Impact Assessment in the EU, US, and Canada
- Expert
A Data & Society podcast with experts on the emerging regulations in the EU, US and Canada that discusses how impact assessment practices can effectively account for the harms caused by algorithmic systems.
Algorithmic Hiring in Practice: Recruiter and HR Professional’s Perspectives on AI Use in Hiring
- Expert
In this piece, the authors interrogate the social and technical dynamics that emerge at the scale of the recruiter as well as the organizational level when human resources professionals engage the use of AI in their daily work activities.
Algorithmic Impact Assessments: A Practical Framework for Public Agency Accountability
- Expert
The Algorithmic Impact Assessment (AIA) framework proposed in this report is designed to support affected communities and stakeholders as they seek to assess the claims made about these systems, and to determine where — or if — their use is acceptable.
Algorithmic Justice League: Overview
- Beginner
An overview of how AI systems are developed and how the harmful use of AI systems can be prevented.
Algorithms and the Coronavirus Pandemic
- Intermediate
An article that discusses the increasing public backlash over governments’ use of automated decision making tools.