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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Media Types

How to Invest in Data and AI Companies Responsibly

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

This paper argues that people who invest in data and AI companies should care about AI ethics because it improves their financial performance and social impact, and includes a workflow that can be used as part of their due diligence.

How to Keep Human Bias Out of AI

Source: TED Talks
Media Type: Video with Transcript
Readability: 
  • Intermediate
Summary:

A technologist explores what happens when AI algorithms are created with human bias coded into their systems and how the lack of diversity in tech is creeping into AI.

How to Make Customer Service Accessible

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

Learn about the steps required to meet the accessible customer service standard by creating a policy and a plan to train staff on how to serve people with disabilities.

How to Make Ethical Use of AI in the Hiring Process

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

The writer of this piece contemplates the hopes and concerns of the un/ethical use of AI.

How We Can Build AI to Help Humans, Not Hurt Us

Source: TED Talks
Media Type: Video with Transcript
Readability: 
  • Intermediate
Summary:

In this Ted Talk, AI research scientist Margaret Mitchell discusses the gaps, blind spots and biases that are subconsciously encoded into AI and how those algorithms may impact our future.

How We Can Find Ourselves in Data

Source: TED Talks
Media Type: Video with Transcript
Readability: 
  • Intermediate
Summary:

A look at how data can be humanized, visualizing even mundane data as something that can be seen and directly connected to our lives.

How Well Can an AI Mimic Human Ethics?

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

An article about how Delphi, a new AI text system from the Allen Institute for AI, offers answers to ethical dilemmas while clearly demonstrating why software shouldn't be trusted with questions of morality.

HTML Living Standard

Source: WHATWG
Media Type: Website Resource
Summary:

This specification defines a big part of the web platform, in lots of detail.

Human-Centered AI: How Can the Technology Industry Fight Bias in Machines and People?

Source: MIT Sloan Experts Series
Media Type: Video
Readability: 
  • Intermediate
Summary:

Featuring Renée Richardson Gosline, this installment of the MIT Sloan Experts Series looks at the consequences of how and when people trust bots and algorithms to help them make decisions, and what it means for society at large.

Human Centered Artificial Intelligence - Stanford University

Source: Stanford University
Media Type: Website Resource
Readability: 
  • Beginner, 
  • Intermediate, 
  • Expert
Summary:

A human-centred AI resource hub developed within Stanford University that provides resources and course information related to AI and a wide range of topics.

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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