Draft standard

CAN-ASC-6.5 - Accessible and Equitable Generative Artificial Intelligence Systems

Information
Designation number
CAN-ASC-6.5
Priority area
Information and communication technologies
Status
Draft
Developed by
Accessibility Standards Canada
Date posted
November
2026
Publication date
To be determined
Table of contents
Technical committee members
  • Nancy McLaughlin, Senior Policy Advisor on Accessibility, Canadian Radio-television and Telecommunications Commission
  • John Willis, Senior Program Advisor, OPS Accessibility Office, Centre of Excellence for Human Rights.  
  • Toufic Sbeiti, Director of Social Media and Visual Communications, Immigration, Refugees and Citizenship Canada
  • Jutta Treviranus (Chairperson), Director of the Inclusive Design Research Centre and Professor, OCAD University 
  • Gary Birch, Executive Director, Neil Squire Society  
  • Lisa Liskovoi, Senior Inclusive Designer and Digital Accessibility Specialist, Inclusive Design Research Centre, OCAD University
  • Clayton Lewis, Professor, University of Colorado  
  • Tara Connelly, Assistant Director Research and Development, Accessibility Institute, Carleton University
  • Julia Stoyanovich, Associate Professor and Director, Tandon School of Engineering, New York University
  • Anne Jackson, Professor, Seneca College  
  • Kave Noori, Artificial Intelligence Policy Officer, European Disability Forum  
  • Mia Ahlgren, Human Rights and Disability Policy Officer, Swedish Disability Rights Federation
  • Sambhavi Chandrashekar (Vice-Chairperson), Global Accessibility Lead, D2L Corporation  
  • Julianna Rowsell, Senior Product Manager, Product Equity, Adobe  
  • Hala Anwar, AI Research Leadership, Adobe Labs
  • Kate Kalcevich, Head of Accessibility Innovation, Fable  
  • Saeid Molladavoudi, Senior Data Science Advisor, Statistics Canada  
  • Merve Hickok, Founder, President and Research Director, Alethicist.org, Center for AI and Digital Policy, University of Michigan

Areas of Focus

The purpose of CAN-ASC-6.5 is to develop a standard that goes above mandatory minimum technical specifications and produces equity-based technical requirements.

There are common areas where people with disabilities may face barriers related to artificial intelligence technologies, including generative artificial intelligence systems. These include, but are not limited to:

  • Training data and model assumptions that can lead to inaccurate results that misinterprets or misrepresents people with disabilities
  • Language, communication, and comprehension
  • Visual content generation and interpretation, including how systems modify visual content
  • Audio and speech content generation and recognition, including how systems modify or transform content
  • Cognitive accessibility and usability
  • Inaccurate, unreliable, or untrustworthy data 

To address these barriers, this standard will establish technical requirements for generative artificial intelligence systems where the system receives, interprets, transforms, generates, or presents content. These requirements include, but are not limited to:

  • The interpretation of multiple methods of communication including:
  • Speech differences;
  • Sign languages;
  • Augmentative and alternative communication;
  • Symbols;
  • Pictograms;
  • Plain language;
  • Multilingual communication; and
  • Other forms of communication
  • How systems can maintain the meaning, context, intent, and accessibility of content when models transform content into:
  • Summaries;
  • Translations, including plain language translations;
  • Captions;
  • Transcriptions; or
  • Other AI enabled transformations.
  • How systems can generate content that is accessible, accurate, and representative of different populations.

This standard will align with all relevant Accessibility Standards Canada standards.

CAN-ASC-6.5 - Accessible and Equitable Generative Artificial Intelligence Systems

Areas of Focus

The purpose of CAN-ASC-6.5 is to develop a standard that goes above mandatory minimum technical specifications and produces equity-based technical requirements.There are common areas where people with disabilities may face barriers related to artificial intelligence technologies, including generative artificial intelligence systems. These include, but are not limited to:Training data and model assumptions that can lead to inaccurate results that misinterprets or misrepresents people with disabilitiesLanguage, communication, and comprehensionVisual content generation and interpretation, including how systems modify visual contentAudio and speech content generation and recognition, including how systems modify or transform contentCognitive accessibility and usabilityInaccurate, unreliable, or untrustworthy data To address these barriers, this standard will establish technical requirements for generative artificial intelligence systems where the system receives, interprets, transforms, generates, or presents content. These requirements include, but are not limited to:The interpretation of multiple methods of communication including:Speech differences;Sign languages;Augmentative and alternative communication;Symbols;Pictograms;Plain language;Multilingual communication; andOther forms of communicationHow systems can maintain the meaning, context, intent, and accessibility of content when models transform content into:Summaries;Translations, including plain language translations;Captions;Transcriptions; orOther AI enabled transformations.How systems can generate content that is accessible, accurate, and representative of different populations.This standard will align with all relevant Accessibility Standards Canada standards.
https://accessible.canada.ca/standards-and-technical-guides/standards-and-technical-guides-database/can-asc-65-accessible-and-equitable-generative-artificial-intelligence-systems-0