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

Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety

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

A new paper explores AI chains of thought (CoT) as an avenue for AI safety.

Challenges Facing Data Science in 2020 and Four Ways to Address Them

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

An overview of Anaconda's recommendations for organizations in their 2020 State of Data Science report.

Challenges for Mitigating Bias in Algorithmic Hiring

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

The exploration of policy issues, a review of techniques in AI screening and legal implications all form the focus of this article.

Challenging Algorithmic Profiling: The Limits of Data Protection and Anti-discrimination in Responding to Emergent Discrimination

Source: Big Data & Society
Media Type: PDF Article
Readability: 
  • Expert
Summary:

From large data sets, the authors examine algorithmic profiling as a process of knowledge construction. They observe the complex categories that result in structural discrimination for disadvantaged groups, a process they call emergent discrimination. They have used a post-colonial lens to draw attention to the (in)visibilities to counteract instances of marginalization. They offer a number of recommendations to informs proactive design and ethical processes in advancing algorithmic profiling.

Changing Landscape of Recruitment Industry: A Study on the Impact of Artificial Intelligence on Eliminating Hiring Bias from Recruitment and Selection Process

Source: Journal of Computational and Theoretical Nanoscience
Media Type: PDF Article
Readability: 
  • Expert
Summary:

The research examines how AI has changed the process of recruitment and selection and grapples with whether it will be able to dispense with unconscious bias in the hiring process. The study points to the potential of AI to nullify biases encountered in the hiring process.

Charter of Fundamental Rights of the European Union

Source: EUR-Lex
Media Type: Website Resource
Summary:

The text of the Charter of Fundamental Rights of the European Union.

ChartSense: Interactive Data Extraction from Chart Images

Source: CHI 2017
Media Type: PDF Article
Readability: 
  • Expert
Summary:

This paper presents ChartSense, an interactive chart data extraction system that determines the chart type of a given chart image using a deep learning based classifier and then extracts underlying data from the chart image using extraction algorithms optimized for each chart type.

Chatbots Learned to Write from Us. Can AI Now Change the Way We Think?

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

LLMs often reflect and reinforce dominant cognitive styles while marginalizing alternative voices and reasoning strategies, which will, over time, homogenize language and thought processes.

City of Brantford's Policy Manual for Accessibility

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

Brantford's Policy Manual for Accessibility.

City of Burlington's Corporate Accessibility Policy

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

Burlington's Corporate Accessibility Policy.

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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