Tag: “Bias”
AI, Fairness and Bias
Dr. Jutta Treviranus participated in the Sight Tech Global 2020 panel "AI, Fairness and Bias" on December 2.
We Count Badges
We Count badges enabled people to showcase their proficiency in the growing fields of AI, data systems and inclusive data practices as well as other skills.
Disability Bias in AI-Powered Hiring Tools Co-Design
In May, we completed our second set of co-design sessions with the Equitable Digital Systems (EDS) project. EDS is a project that explores how to make digital systems more inclusive for persons with disabilities in the workplace.
Ensuring Equitable Outcomes from Automated Hiring Processes
These automated hiring and matching algorithms, implemented by major corporations such as LinkedIn, Amazon and others can be positioned in the wider context of automated processes, that use machine learning/AI algorithms, and support the infrastructure of society. These systems inevitably result in inequitable outcomes.
Exploring Bias in Hiring Tools
This video presentation examines how AI technology is utilized in recruitment and selection, its implications for candidates with disabilities, and the question of accessibility and diversity.
Inverted Word Clouds
Our development team has been hard at work creating a word cloud tool that will allow users to highlight either minority or majority answers.
We Count Project
We Count, a project of the Inclusive Design Research Centre at OCAD University, was created to address bias, discrimination and barriers to participation and employment for persons with disabilities within the field of data science and data-driven systems.