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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Media Types

City of Toronto Corporate Accessibility Policy

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

The City of Toronto's Corporate Accessibility Policy.

City of Vaughan's Accessibility Policy

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

Vaughan's Accessibility Policy.

Clear Print Accessibility Guidelines

Source: CNIB
Media Type: PDF Article
Summary:

Clear Print Guide created by the CNIB for individuals and organizations to follow when producing materials.

Closed Captioning Standards and Protocol for Canadian English Language Television Programming Services

Source: Canadian Association of Broadcasters
Media Type: PDF Article
Summary:

CAB's Closed Captioning Standards and Protocol for Canadian English Language Television Programming Services.

Clueless AI: Should AI Models Report to Us When They Are Clueless?

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

This new paper discusses the importance of including extrapolation in the right to AI explainability and transparency discourse. Extrapolation, a term that refers to the extent AI models are clueless when they come across unfamiliar samples, happens far more often than users and stakeholders would expect.

Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI

Source: CHI 2020
Media Type: PDF Article
Readability: 
  • Expert
Summary:

This article describes the results from a interview and co-design with 48 practitioners from 12 tech companies to understand the role of AI ethics checklists and how they should be developed.

COLUMBUS: Evaluating Cognitive Lateral Understanding Through Multiple-Choice Rebuses

Source: arXiv
Media Type: PDF Article
Readability: 
  • Expert
Summary:

Visual question-answering benchmarks have focused on vertical thinking, but effective problem-solving also requires lateral thinking, which remains understudied in AI. To bridge this gap, researchers have formulated visual lateral thinking as a multiple-choice question-answering task and describe a three-step taxonomy-driven methodology for instantiating task examples and have developed COLUMBUS, a synthetic benchmark that applies the task pipeline to create QA sets with text and icon rebus puzzles.

Coming Face to Face with Rite Aid’s Allegedly Unfair Use of Facial Recognition Technology

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

The FTC has banned drug store chain Rite Aid from using facial recognition for five years due to their irresponsible, harmful and biased use of the technology

Commission Adopted Delegated Regulation on EU-Wide Voice-Call Termination Rates

Source: European Commission
Media Type: Website Resource
Summary:

A news article about how the European Commission adopted a Delegated Regulation setting single maximum Union-wide voice termination rates in line with the European Electronic Communications Code and in time for its transposition.

Commission Updated the Recommendation on Relevant Markets

Source: European Commission
Media Type: Website Article
Summary:

The Recommendation sets out a list of markets, which still warrant ex-ante regulation at EU level, in order to promote and safeguard competition and maximize consumer benefits.

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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Tags

Media Types

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