Discover more about We Count’s efforts, activities and viewpoints.

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A Clusive Success Story

Joseph Scheuhammer

Clusive is a free, flexible, adaptive and customizable learning environment. It is a web application for students and teachers that addresses access and learning barriers present in digital and open learning materials.

Ensuring Equitable Outcomes from Automated Hiring Processes: An Update

Antranig Basman, Raising the Floor - International

For this article, Antranig is considering this problem in the context of corporate apologies for technological practice and initiatives such as data feminism that seek to transfer power from privileged groups to those at the margins of society.

The Future of Work and Disability

David Pereyra

The Future of Work and Disability project formed a study group to understand and examine intersecting topics of AI, automation, standards and employment as they relate to persons with disabilities.

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The Accessibility Ecosystem Proposal

Jutta Treviranus

To say that the route to almost all essential services is through digital systems is stating the obvious. Despite this reality, more than twenty-five years of regulations requiring accessible digital technology, a plethora of guidelines and resources to support accessibility, and a thriving industry checking and repairing inaccessible websites, people who require alternative ways to access digital systems face ever-multiplying barriers.

Exploring Bias in Hiring Tools

Edward Thompson

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.

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Disability Bias in AI-Powered Hiring Tools Co-Design

Arjun Sawhney

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.

EDS: Equitable Digital Systems logo

Introduction to Data Science Tools Resources in the We Count Research Library

Lorna Lo

Learning data science comes with a steep learning curve, and inaccessible tutorials, resources and tools create barriers. To support a more inclusive environment in the field of data science, We Count has created a resource library.

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.