We Count
The Project
Funder:
- Innovation, Science and Economic Development Canada's Accessible Technology Program
- William Flora Hewlett Foundation
Project Website: https://wecount.inclusivedesign.ca/
Description:
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.
Partners
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
Milestones
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)
WeCount Website
The production deployment: https://wecount.inclusivedesign.ca/
The development deployment: https://dev--wecount.netlify.app/
The Github repository: https://github.com/inclusive-design/wecount.inclusivedesign.ca
Website Design: Figma Doc
General Information and Browser Support
Accessibility Map
The umbrella document: https://docs.google.com/document/d/1a4emmifag7OVefDvTRbFf7ck_AwZziaGlotvhL-0-RI/
The map deploy alone: https://build-covid.netlify.app/
The map deploy on the WeCount website: https://wecount.inclusivedesign.ca/map/
The data repository of COVID assessment centres: https://github.com/inclusive-design/covid-assessment-centres/
The source code repository: https://github.com/inclusive-design/covid-data-monitor/
Brainstorming on Accessibility Map of COVID-19 Assessment Centres
Evaluate node.js testing frameworks
Inverted Wordle
The website: https://inverted-wordles.netlify.app/
The source code repository: https://github.com/inclusive-design/inverted-wordles
Inverted Word Clouds Architecture
Evaluation of word cloud libraries
Speculation on Inverted Wordles Algorithms
The Pluralistic Data Infrastructure
The source code repository for the Pluralistic Data Infrastructure: https://github.com/inclusive-design/forgiving-data/
The source code repository for Github Operation API: https://github.com/inclusive-design/git-ops-api
Antranig gave a talk on Dec 3 for CIFAR - slides available at https://docs.google.com/presentation/d/1wF8EHXc8_h9gREwEzVzYg7gd_vMnPwPCWJRnossOTXw/edit
Personal Data Server
The source code repository: https://github.com/fluid-project/personal-data-server
W3C Community Group
Summary: W3C Portable Personal Data Preferences Community Group
Data Science Tools Evaluation
Accessibility Test Plan for Python Download Package for Mac
Designing Proof and Evidence Co-Design
In fall 2021, a series of three co-design sessions were held on the topic of "Designing Proof and Evidence with Minorities and Outlier Data".
We Count Website Summary
Communication
Meeting notes (link): All meeting Notes
Communication channel or platform (link): Matrix Channel
Project Resource
Add a relevant Link for Review/Curation by Resources Team (internal access only)
Add a file to the resources to review folder on Sharepoint (internal access only)