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Ensuring Equitable Outcomes from Automated Hiring Processes

Antranig Basman

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.

Pluralistic Data Infrastructure

Antranig Basman

The pluralistic data infrastructure supports communities in taking collective ownership of data that relates to them and curating its relationships with data from other sources.

W3C Portable Personal Data Preferences Community Group

Joseph Scheuhammer

The IDRC has submitted a proposal to the W3C to establish a Community Group to discuss and develop portable personal data preferences.

COVID-19 Vaccination Centre Data Monitor: Accessibility Map Demonstration

Uttara Ghodke & Celine Nguyen

A COVID-19 data monitor prototype test that was created to show how data gaps can be addressed, providing a way to find accessibility information that is not included in these data sets.

Map with marker pins on it.

Equitable Digital Systems

Vera Roberts

The Future of Work: Equitable Digital Systems project is an initiative at the Inclusive Design Research Centre, OCAD U examining the accessibility of the digital tools and systems we rely upon for work.

EDS: Equitable Digital Systems logo

Preferences Edge Proxy Workflow

Joseph Scheuhammer

The development team has created a new workflow supported by the Personal Data Storage, or Preferences server, where the user makes save/retrieve requests for their preferences while on a static site.

Part of the We Count logo

Inverted Word Clouds

Cindy Li

Our development team has been hard at work creating a word cloud tool that will allow users to highlight either minority or majority answers.

A sample word cloud

AI, Fairness and Bias

Jutta Treviranus

Dr. Jutta Treviranus participated in the Sight Tech Global 2020 panel "AI, Fairness and Bias" on December 2.

Sight Tech Global logo

Environmental Scan: Addressing Inclusionary Practice in Canadian AI Firms

Ali Milad

An overview of key findings from the AI Firm portion of the environmental scan conducted by the We Count team in May 2020.

Portion of the We Count logo

Environmental Scan: Assessing Inclusionary Practice in Canadian Data Services

Ali Milad

An overview of key findings from the Data Service Provider portion of the environmental scan conducted by the We Count team in May 2020.

Portion of the We Count logo