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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The Act on Public Procurement in the Supply Sectors

Source: Notisum
Media Type: Website Resource
Summary:

The text of Sweden's Act on Public Procurement in the Supply Sectors.

The Advantages of Being a Blind Programmer

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

A podcast about the experiences and tools of a blind programmer.

The AI Chat App Being Trialled in NSW Schools Which Makes Students Work for the Answers

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

The AI app NSWEduChat, developed as a virtual tutor app in New South Wales, Australia, provides insight into how AI chatbots could be successfully utilized in schools and as part of the education curriculum.

The AI Debate Is Happening in a Cocoon

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

In this Atlantic article, Amba Kak and Sarah Myers West from the AI Now Institute point out how discussions about AI are often far removed from how it's actually used in today’s world, and they discuss how AI already poses economic and physical threats that disproportionately harm society’s most vulnerable people.

The AI Ethics Review - Eight Sticking Points We Haven't Resolved

Source: Diginomia
Media Type: Website Article
Readability: 
  • Beginner
Summary:

An article that reviews how AI has changed in the last few years and highlights the top ethical issues that have arisen.

The AI Magnifying Mirror

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

IDRC's Jutta Treviranus has contributed this article to our FLOE project's AI in Education collection, supported by the Hewlett Foundation in partnership with Etika Insights. Jutta's article warns that current AI systems, powered by statistical reasoning, risk amplifying existing inequities and discoursing diversity. Her piece serves as a vital reminder that AI’s promise of personalized learning must be balanced against its potential to enforce normalization and eliminate valuable differences among learners. The AI in Education collection examines AI’s role in education, highlighting both opportunities and risks while emphasizing the importance of responsible implementation.

The A.I. Pandorica: Linking Ethically Challenged Technical Outputs to Prospective Policy Approaches

Source: dg.o 2019
Media Type: Website Article
Readability: 
  • Expert
Summary:

An overview of AI issues and possible methods for addressing bias, including AI audits, implementing accountability in policy, instituting Code of Ethics for AI practitioners, data transparency, diversity in the field, and ethics in higher education.

The AI Tools That Might Stop You Getting Hired

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

A new book called "The Algorithm" details the results of an experiment conducted to determine how AI is being used in hiring and evaluating current employees and how effective or problematic these algorithms are.

The Algorithm Audit: Scoring the Algorithms That Score Us

Source: Big Data and Society
Media Type: Website Article
Readability: 
  • Expert
Summary:

An article that proposes an auditing framework to guide the ethical assessment of an algorithm.

The Algorithmic Auditing Trap

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

An op-ed by Mona Sloane that details the promise and pitfalls of algorithmic assessments.

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

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