We Count: Artificial Intelligence Inclusion Projects from Inclusive Design Research Centre

Resources

Support your learning through our searchable research library and discover valuable resources about many topics in artificial intelligence and data analytics, such as AI ethics, bias and data tools.

Select the We Count at Large tag to view a selection of speaking engagements and presentations by IDRC team members. Many of these resources showcase the efforts of IDRC Director Jutta Treviranus, whose pioneering work and insights in AI and inclusive AI continue to inspire and lead the field.

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Topics

  • AI and disability, small minorities and outliers (for the general public)
  • Work for people with disabilities in data science
  • AI ethics and policy
  • AI design and methods (for AI experts)
  • ICT Standards and Legislation

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Media Types

Anti-Discrimination and Accessibility Act

Source: ILO
Media Type: Website Resource
Summary:

The text of Norway's Anti-Discrimination and Accessibility Act.

AODA Alliance Submits a Brief to Accessibility Standards Canada Listing the Federal Accessibility Standards We Need the Federal Government to Now Develop and Enact

Source: AODA
Media Type: Website Article
Summary:

A press release outlining how AODA Alliance submitted a brief to Accessibility Standards Canada listing the federal accessibility standards that need to be developed and enacted.

A People’s Guide to AI

Source: Candid
Media Type: Website Article
Readability: 
  • Intermediate
Summary:

An introductory guide on AI with information and activities to help readers gain a deeper understanding of AI concepts and problems.

A Popular Technique to Make AI More Efficient Has Drawbacks

Source: TechCrunch
Media Type: Website Article
Readability: 
  • Intermediate
Summary:

Quantization as a method to make AI models more efficient may have more trade-offs than originally predicted.

Applause Targets AI Bias by Sourcing Training Data at Scale

Source: VentureBeat
Media Type: Website Article
Readability: 
  • Intermediate
Summary:

Software testing company Applause is looking to reimagine AI testing with a new service that better detects AI bias by crowdsourcing larger training data sets. Applause’s AI training and testing service is offered across five core AI types, covering voice, optical character recognition (OCR), image recognition, biometrics and chatbots.

AppleVis Extra 75: Sarah Herrlinger and Dean Hudson from Apple Accessibility

Source: AppleVis
Media Type: Podcast
Readability: 
  • Beginner
Summary:

A podcast episode with Sarah Herrlinger and Dean Hudson from Apple on accessibility initiatives such as VoiceOver, braille support and coding.

AppleVis Forums: App Development and Programming

Source: AppleVis
Media Type: Website Resource
Readability: 
  • Intermediate
Summary:

An online resource for blind and low vision users of Apple products, including topics like app development and programming.

Approaches to Designing AI

Source: AI in Education
Media Type: Website Article
Readability: 
  • Expert
Summary:

Teaching Lab's Sarah Johnson has contributed this article to our FLOE project's AI in Education collection, supported by the Hewlett Foundation in partnership with Etika Insights. Sarah's article emphasizes the importance of co-creating AI tools with teachers and students rather than for them, sharing valuable lessons from real-world implementations to develop students’ writing skills. The AI in Education collection examines AI’s role in education, highlighting both opportunities and risks while emphasizing the importance of responsible implementation.

A Proposal for Identifying and Managing Bias in Artificial Intelligence

Source: NIST
Media Type: PDF Article
Readability: 
  • Expert
Summary:

NIST's new report outlines a strategy for managing AI bias, contributing to a fuller description and understanding of the challenge of harmful bias and ways to manage its presence in AI systems.

Are AI-Generated Images Biased?

Source: VPN Mentor
Media Type: Website Article
Readability: 
  • Intermediate
Summary:

This article tests out four AI image generators for bias using thirteen stereotyped words, such as nurse and scientist.

Resources

Support your learning through our searchable research library and discover valuable resources about many topics in artificial intelligence and data analytics, such as AI ethics, bias and data tools.

Select the We Count at Large tag to view a selection of speaking engagements and presentations by IDRC team members. Many of these resources showcase the efforts of IDRC Director Jutta Treviranus, whose pioneering work and insights in AI and inclusive AI continue to inspire and lead the field.

Filters

Topics

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