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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International Covenant on Civil and Political Rights

Source: UN OHCHR
Media Type: Website Resource
Summary:

The United Nation's International Covenant on Civil and Political Rights.

International Covenant on Economic, Social and Cultural Rights

Source: UN OHCHR
Media Type: Website Resource
Summary:

The United Nation's International Covenant on Economic, Social and Cultural Rights.

International Human Rights, Artificial Intelligence, and the Challenge for the Pondering State: Time to Regulate?

Source: MAIEI
Media Type: Website Article
Readability: 
  • Expert
Summary:

This paper argues that the lack of adequate regulation in the AI sector may violate International Human Rights norms, reflecting a state where governments have failed to uphold their obligations to protect, fulfill and remedy.

International Observatory on the Societal Impacts of AI and Digital Technology

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

the Observatory helps communities, organizations and individuals maximize the positive outcomes of artificial intelligence and digital technology and minimize the negative effects of that technology.

Interpretable Machine Learning: A Guide for Making Black Box Models Explainable

Source: Christoph Molnar
Media Type: Website Resource
Readability: 
  • Intermediate
Summary:

This ebook by Christoph Molnar provides a critical and thorough discussion about interpretation methods, with the goal of enhancing AI explainability.

Interventions for Ranking in the Presence of Implicit Bias

Source: FAT 2020
Media Type: Website Article
Readability: 
  • Expert
Summary:

This paper considers a type of constraint-based interventions for re-ordering biased rankings derived from utilities with systematic biases against a particular socially salient group. The goal of these interventions is to recover the unbiased ranking that would have resulted from the true latent (unbiased) utilities.

Introducing Accessible Scala

Source: Scala
Media Type: Website Resource
Readability: 
  • Expert
Summary:

Accessible Scala is a tool for blind and partially sighted developers that aims to remove the noise introduced by various delimiters and make coding easier with with text-to-speech software.

Introduction to Ethical AI Principles

Source: MAIEI
Media Type: PDF Article
Readability: 
  • Beginner, 
  • Intermediate
Summary:

An overview of six primary principles of ethical AI: fairness, accountability, human agency, transparency, privacy and respect to human rights.

In Unison 2000: Persons with Disabilities in Canada

Source: CRWDP
Media Type: PDF Article
Summary:

A report that advocates for a national consensus on disability issues that brings together all sectors.

Invest in Canada: Big Data and Analytics in Canada

Source: Global Affairs Canada
Media Type: PDF Article
Readability: 
  • Intermediate
Summary:

An overview of how the growing big data and analytics requirements of major Canadian and global organizations have created opportunities in Canada for the leading global companies in those spaces.

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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Media Types

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