Topic template
- Jonathan Hung
What is it?
Description of the topic and how it relates to financial inclusion. Example description:
Artificial intelligence (“AI”) is increasingly used by financial systems and financial technology (“fintech”) organizations to assist in data analysis, metrics, and decision making. Most AI systems are built and trained using statistical data and models which will result in outcomes that favour the statistical majority. In these systems, people experiencing disabilities, Deaf people, and other minority groups do not fit neatly into the model as they appear as small or insignificant data, or as statistical anomalies or outliers. People will experience this bias in different ways. This page documents some of these impacts and some possible approaches to overcome these issues.
Articles
This Articles section includes research papers, news articles, and other information published on the Internet.
“Title of the article” by Name of Author / Name of publisher. Description of the article and how it may be relevant to the topic.
…
Experiences
This Experiences section includes stories, perspectives, and experiences submitted by people experiencing disabilities or is Deaf. Where necessary, personal information have been changed to protect the privacy of the people involved.
Experience 1
Experience 2
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External groups
The External Groups section contains links to organizations or individuals who are working, advocating, or innovating in this space. The parties mentioned in this list are not endorsed by the IDRC.
Org name and link
Org name and link
Org name and link
Contribute to this topic
Do you have an article or resource to add to this page? Do you have an experience you would like to share? Add your insight and perspective to this topic by using one of the following options:
Use the comment feature on this page by either: 1) highlighting text on the page and select “Comment”; or 2) using the “Comment” section at the bottom of the page.
Completing the article submission web form or by completing the article submission Word document and emailing it to jhung@ocadu.ca.
For your privacy and security, please avoid sharing personally identifiable information such as names and specific locations.