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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Topics

  • 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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Social Code - Book IX - Rehabilitation and Participation of Disabled Persons

Source: ILO
Media Type: Website Resource
Summary:

The text of Germany's Social Code.

Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries

Source: Frontiers in Big Data Journal
Media Type: Website Article
Readability: 
  • Expert
Summary:

This article highlights data quality issues and general challenges for research using social data, including population biases, behavioural biases, content biases, linking biases, temporal variations and redundancy.

Social Principles of Human-Centric AI

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

A report about some of the impacts of AI on Japanese society that includes a set of AI social principles and identifies some issues to consider in AI R&D and social implementation.

Society‑in‑the‑Loop: Programming the Algorithmic Social Contract

Source: Ethics and Information Technology Journal
Media Type: Website Article
Readability: 
  • Expert
Summary:

An article that adds social contract theory to current Human in the Loop (HITL) for monitoring and supervising machine learning systems called Society in the Loop (SITL), where various societal stakeholders are required to monitor the system rather than just the human creator.

Solon Barocas on Teaching Ethics in Data Science

Source: Good Code Podcast
Media Type: Podcast
Readability: 
  • Intermediate
Summary:

A discussion of how ethics in data science should be taught to post-secondary students and what they need to know to be able to assess the social impact of their work.

Someone Has Created a Tool That Makes Captions for Deaf People in Real World Conversations

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

Meta is developing a new app that transcribes speech into text in the real world using AR, which could be a game changer for people who are hard of hearing or deaf. The live-captioning technology displays captions on top of the person speaking via wearables, focusing only on the identified speaker's voice, and it even works in crowded spaces.

Sonify: Data Sonification - Turning Data into Sound

Source: CRAN
Media Type: Data Tool Package
Readability: 
  • Expert
Summary:

This Sonify package provides a substitute for R's plot function to simplify data analysis for the visually impaired.

SR 11-7: Guidance on Model Risk Management

Source: Federal Reserve
Media Type: Website Resource
Summary:

Supervision and regulation letter on the guidance of model risk management.

Standard Acquisition Clauses and Conditions (SACC) Manual

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

The Standard Acquisition Clauses and Conditions Manual includes procurement clauses and general conditions as well as instructions on how these clauses and conditions are used.

Standard on Metadata

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

Aims to increase the use of standardized metadata and value domains in support of the management of information resources.

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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