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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Artificial Intelligence Ethics and Governance Body of Knowledge (AI E&G BoK)

Source: Singapore Computer Society
Media Type: Website Resource
Summary:

Access to Singapore Computer Society's Artificial Intelligence Ethics and Governance Body of Knowledge.

Artificial Intelligence Fairness in the Context of Accessibility Research on Intelligent Systems for People Who Are Deaf or Hard of Hearing

Source: ACM ASSETS 2019
Media Type: PDF Article
Readability: 
  • Expert
Summary:

This paper covers some emerging issues in AI fairness for people with disabilities, both in the context of AI mainstream technologies and in new AI-based access technologies for people with disabilities.

Artificial Intelligence Index Report 2019

Source: Stanford HAI
Media Type: PDF Article
Readability: 
  • Expert
Summary:

The AI Index Report tracks, collates, distills and visualizes data relating to artificial intelligence. Its mission is to provide unbiased, rigorously-vetted data for policymakers, researchers, executives, journalists and the general public to develop intuitions about the complex field of AI.

Artificial Intelligence, Machine Learning, and Bias in Finance: Toward Responsible Innovation

Source: Fordham Law Review
Media Type: PDF Article
Readability: 
  • Expert
Summary:

A financial law article showing the regulation challenges of consumer data algorithms in commerce.

Artificial Intelligence Poses “Risk of Extinction,” Tech Execs and Experts Warn

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

Over 350 tech industry leaders have signed the Statement on AI Risk letter, urging policymakers to make regulating AI technology a priority and expressing their concern for the risks of such technology for society.

Artificial Intelligence Presents Risks and Opportunities for the Disabled

Source: Global Issues
Media Type: Website Article
Readability: 
  • Intermediate
Summary:

IDRC Director Jutta Treviranus was a panelist at last week's UN Artificial Intelligence for Inclusion conference, which aimed to highlight how AI tools can be used to create inclusive workforces that maximize fairness and accessibility.

Artificial Intelligence Tutorial For Beginners

Source: Edureka
Media Type: Video
Readability: 
  • Beginner, 
  • Intermediate
Summary:

An introduction to artificial intelligence playlist that is part of Eureka's e-learning platform.

As AI Evolves, Some Quebec Teachers Counter ChatGPT with Their Own Bots

Source: CBC News
Media Type: Website Article
Readability: 
  • Intermediate
Summary:

Find out how some teachers are changing the way they teach in response to the growing use of AI, such as ChatGPT.

A Shiny Pony in Higher Ed

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

IDRC's Jess Mitchell has contributed this article to our FLOE project's AI in Education collection, supported by the Hewlett Foundation in partnership with Etika Insights. Jess's article serves as a sobering reminder that AI, while powerful, lacks understanding, learning and moral judgment. She calls for institutions to focus on people rather than profit or technology. The AI in Education collection examines AI’s role in education, highlighting both opportunities and risks while emphasizing the importance of responsible implementation.

A Simple Introduction to Machine Learning

Source: Towards Data Science
Media Type: Website with Video
Readability: 
  • Intermediate
Summary:

An introduction to machine learning and the two main categories of machine learning models: supervised and unsupervised.

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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