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.
"We Don’t Want to Leave People Behind": AI Is Helping Disabled People in Surprising New Ways
- Intermediate
New generative AI tools are showing great promise as assistive technology for those with disabilities. With ongoing investment and development, these tools can provide even more assistance for disabled people.
Welcome to the Updated Service Standard
An overview of the UK Government's updated Service Standard.
We Must Slow Down the Race to God-Like AI
- Intermediate
"How far away are we from artificial general intelligence?” is one of many related questions that Ian Hogarth grapples with in this Financial Times article.
We Tested AI Interview Tools. Here’s What We Found.
- Intermediate
AI-powered interview software claims to help employers sift through applications to find the best people for the job. But as the demand for these technologies increases, so do questions about their accuracy and reliability.
What Algorithm Auditing Startups Need to Succeed
This VentureBeat article discusses the steps needed to ensure successful algorithm auditing.
What Are Important Ethical Implications of Using Facial Recognition Technology in Health Care?
- Intermediate
Facial recognition technology (FRT) is attractive for a variety of healthcare applications, but its use also raises ethical questions about privacy and data protection, potential bias, and potential implications for patient-clinician relationships.
What Does Building a Fair AI Really Entail?
- Intermediate
An article that offers new methods for businesses and organizations to implement and govern fairness for AI decision-making systems.
What Does It Mean to Align AI with Human Values?
- Intermediate
Learn about AI alignment and the machine learning technique inverse reinforcement learning (IRL) in this Quanta article.
What Does It Mean to “Solve” the Problem of Discrimination in Hiring?
- Expert
The authors bring into scrutiny three automated hiring systems, HireVue, Pymetrics and Applied, to evaluate how they identify and alleviate bias and discrimination. These systems were chosen based on their claims to mitigate discriminatory hiring.
What does it mean to ‘solve’ the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems
- Expert
The paper outlines how data-driven technologies are transforming hiring practices and focuses on three automated hiring systems (AHSs) widely in use in the UK claim to deal with bias.