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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  • 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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Coordinated Plan on Artificial Intelligence 2021 Review

Source: European Commission
Media Type: Website Resource
Summary:

The 2021 plan builds on the collaboration established between the Commission and Member States during the 2018 Coordinated Plan with regard to AI development and strategy.

Copyright, Licensing, and Open Source AI

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

Open Source Initiative's Anne-Marie Scott has contributed this article to our FLOE project's AI in Education collection, supported by the Hewlett Foundation in partnership with Etika Insights. Anne-Marie's article explores the tension between AI training methods and academic integrity, questioning whether we can ethically create educational resources using AI trained on copyrighted materials. The AI in Education collection examines AI’s role in education, highlighting both opportunities and risks while emphasizing the importance of responsible implementation.

Corporate Policy and Procedure

Source: City of Guelph
Media Type: PDF Article
Summary:

Guelph's Corporate Policy and Procedure.

Corporate Policy for Accessibility

Source: City of Thunder Bay
Media Type: PDF Article
Summary:

Thunder Bay's Corporate Policy for Accessibility.

Corporate Surveillance in Everyday Life

Source: Cracked Labs
Media Type: Website Article
Readability: 
  • Intermediate
Summary:

A report explaining the practices and inner workings of the data industry and a description of the data ecosystem, including digital tracking and profiling, data collection and sharing, and relevant industry players and businesses.

Could Algorithm Audits Curb AI Bias?

Source: Lexis Nexis
Media Type: Website Article
Readability: 
  • Intermediate
Summary:

This article explores what states are doing in terms of legislative efforts to require employers utilizing AI-enabled technologies to conduct AI audits.

Counterfactual Fairness

Source: NIPS 2017
Media Type: Website Article
Readability: 
  • Expert
Summary:

A machine learning framework for modelling fairness using tools from causal inference.

Coveo

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

A leading Canadian AI company that designs AI-powered search, recommendation and predictive insights platforms for businesses, leveraging internal and user search data to provide relevant content.

Coverage of Artificial Intelligence and Machine Learning within Academic Literature, Canadian Newspapers, and Twitter Tweets: The Case of Disabled People

Source: Societies Journal
Media Type: Website Article
Readability: 
  • Intermediate
Summary:

A scoping review from academic literature, Canadian newspapers and Twitter found limited coverage on persons with disabilities as knowledge producers or influencers of machine learning and AI technology, revealing a pressing need for changes to AI/ML coverage.

COVID-19 and Rethinking the Role of AI in Assisting with the Mental Health Crisis

Source: The Good AI
Media Type: Website Article
Readability: 
  • Intermediate
Summary:

When it comes to AI-based emotion recognition technology, digital apps that don't have sufficient oversight risk compounding existing biases and health disparities.

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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