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.
TikTok Curbed Reach for People with Disabilities
- Intermediate
Leaked documents reveal how TikTok hid videos of people with disabilities as well as members of the LGBTQ community and those who identify as fat under the guise of protecting vulnerable users.
“Time Is Running Out”: Can a Future of Undetectable Deepfakes Be Avoided?
- Intermediate
Obvious signs for spotting deepfakes are becoming increasingly difficult to spot as generative AI continues to improve, which has created a race against time before these deepfakes become indistinguishable from the real deal.
Timnit Gebru on the Limits of Artificial Intelligence
- Intermediate
A podcast episode that calls for the standardization of algorithms and that cautions against focusing on making them more fair without thinking about whether they should exist in the first place.
Timnit Gebru’s Exit from Google Exposes a Crisis in AI
- Intermediate
Two Googlers argue that Timnit Gebru's exit from Google reveals systemic and highly problematic crises in the AI field.
Tips for Users to Be More Productive on Mac OS with Voiceover than Windows with NVDA/JAWS
- Intermediate
A few tips and suggestions that can make a user more productive in Mac OS using VoiceOver than on Windows using NVDA.
TMU Students Build AI Tool to Detect Brain Tumours
- Intermediate
A new project spearheaded by two TMU students aims to use AI to detect and classify brain tumours. Their tools has three goals: decrease wait times, reduce health care costs and improve medical outcomes in health care settings.
To Be a Responsible AI Leader, Focus on Being Responsible
- Intermediate
Read the findings from the 2022 Responsible AI Global Executive Study and Research Project, conducted by MIT Sloan Management Review and Boston Consulting Group. While leaders agree that responsible AI should be a top priority, the report reveals how AI-related initiatives haven't been prioritized.
To Be Seen We Must Be Measured: Data Visualisation and Inequality
- Intermediate
An exploration of how data, bodies and experience entwine in situations of inequality and injustice, with a specific focus on the impacts of the COVID-19 pandemic.
Too Big a Word
- Intermediate
An in-depth look at how "ethics" is defined in the technology industry and how unpacking “ethics” as a keyword is a crucial task.
Tools for Blind Scientists
- Beginner
A podcast episode hosted by Peter and Nancy Torpey with Mona Minkara, assistant professor of bioengineering at Northeastern University, about the data tools, assistive technology and strategies she uses as a blind scientist.