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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Brazilian Civil Rights Framework for the Internet

Source: Public Knowledge
Media Type: Website Resource
Summary:

The text of the Brazilian Civil Rights Framework for the Internet.

Brazilian General Data Protection Law

Source: IAPP
Media Type: Website Resource
Summary:

Translation of the Brazilian General Data Protection Law (LGPD).

Breaking Barriers: Empowering Women in AI Development with the Gender Equitable AI Toolkit

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

NetHope has released their Gender Equitable AI Toolkit, which aims to provide practical guidance and tools for organizations to focus on gender equity as a component of AI development.

Breaking the Curse of Small Datasets in Machine Learning: Part 1

Source: Towards Data Science
Media Type: Blog
Readability: 
  • Expert
Summary:

The size of the data may manifest issues relating to generalization, data imbalance, and difficulty in reaching the global optimum. This article covers a few of the most commonly used techniques for tackling issues, such as data set size, for traditional machine learning algorithms.

Bridging the Gap: The Case for an “Incompletely Theorized Agreement” on AI Policy

Source: AI and Ethics
Media Type: Website Article
Readability: 
  • Expert
Summary:

A paper that proposes to make use of the principle of an "incompletely theorized agreement" to bridge some underlying disagreements between those in the research community in order to address AI’s urgent challenges.

Bringing the People Back In: Contesting Benchmark Machine Learning Datasets

Source: ICML Workshop on Participatory Approaches to Machine Learning 2020
Media Type: Website Article
Readability: 
  • Expert
Summary:

A paper that outlines a research program — a genealogy of machine learning data — for investigating how and why datasets have been created, what and whose values influence the choices of data to collect, the contextual and contingent conditions of their creation.

British Columbia Framework for Accessibility Legislation

Source: Government of British Columbia
Media Type: PDF Article
Summary:

A document that outlines British Columbia's framework for new accessibility legislation.

Broadband Policy

Source: Government of India
Media Type: Website Resource
Summary:

The text of India's Broadband Policy.

Broadcasting Act

Source: Government of Canada
Media Type: Website Resource
Summary:

The text of Canada's Broadcasting Act.

Broadcasting Act 2009

Source: Government of Ireland
Media Type: PDF Article
Summary:

The text of Ireland's Broadcasting Act.

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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