The Project


Project Website:


We Count is a community-driven project to address the inherent bias against small minorities and outliers in artificial intelligence and data analytics. Disability often places you at the margins of a data set. More and more critical decisions are made and automated using data. Current artificial intelligence can automate and amplify existing discrimination.

The We Count community is addressing this by:

  • making sure people with lived experience of disability can participate in shaping data science,
  • addressing data gaps and biases,
  • co-designing protections against data abuse and misuse, and
  • co-creating more equitable decision supports.


Organizations that have expressed interest and/or commitment to participating are: 

  • Canadian Association of Community Living
  • Centre for Independent Living in Toronto
  • DisAbled Women’s Network
  • Canadian Council of the Blind
  • Canadian Hearing Society
  • Canadian Hard of Hearing Society
  • Canadian National Institute for the Blind
  • ARCH Disability Law Centre
  • British Columbia Aboriginal Network on Disability Society
  • Communication Disabilities Access Canada
  • Council of Canadians with Disabilities
  • Centre for Addiction and Mental Health
  • Disabled Peoples’ International
  • Institute for Research and Development on Inclusion and Society
  • Learning Disabilities Association of Ontario
  • NEADS (National Education Association of Disabled Students)
  • Ontario Federation for Cerebral Palsy, and
  • StopGap

Goals of Project

  • List of data science tools along with assessment of accessibility
  • Resources for marginalized groups looking to get into artificial intelligence
  • Resources for C-suite roles looking to apply artificial intelligence to their organization
  • Resources for researchers looking to apply more inclusive/accessible artificial intelligence


Milestone #1: Co-design approaches and processes to address accessibility challenges, data science barriers and data gaps for persons with disabilities. (July 2019-December 2021)

Milestone #2: Address accessibility barriers in data science tools and biases against persons with disabilities in machine learning and automated decision processes. (October 2019-March 2022)

Milestone #3: Develop accessible processes and standards for data governance and security (July 2019-June 2020)

Milestone #4: Credential and certify inclusive data science training (October 2019-March 2022)

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