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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An AI Voice Can Improve Quality of Life for People with ALS

Source: ALS News Today
Media Type: Website Article
Readability: 
  • Intermediate
Summary:

Through their partnership with Eleven Labs, Bridging Voice is improving quality of life for people with ALS by giving them access to their own AI voice. The service uses high-quality voice recordings submitted by applicants to craft their AI voice.

An Artificial Intelligence Standards Roadmap: Making Australia's Voice Heard

Source: Standards Australia
Media Type: PDF Article
Summary:

A roadmap that provides a framework for Australians to intervene and shape the development of standards for AI internationally.

Anatomy of a New Data Science Course in Privacy, Ethics, and Security

Source: WCCCE 2018
Media Type: PDF Article
Readability: 
  • Expert
Summary:

A description of a new ethics course created for a Master of Data Science program at UBC, including learning goals, content, activities and evaluation methods.

An Audit Framework for Adopting AI-Nudging on Children

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

This paper provides an audit framework for AI-nudging, with a focus on protecting children.

An Empirical Characterization of Fair Machine Learning for Clinical Risk Prediction

Source: Journal of Biomedical Informatics
Media Type: Website Article
Readability: 
  • Expert
Summary:

A study by researchers from Stanford University concludes that the use of machine learning to guide clinical decision-making has the potential to worsen existing health disparities.

An Empirical Study of Modular Bias Mitigators and Ensembles

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

This paper analyzes whether bias mitigation can be made more stable with ensemble learning and explores the space of mitigators and ensembles across several learning objectives.

An Ethics Evaluation Tool for Automating Ethical Decision-Making in Robots and Self-Driving Cars

Source: Applied Artificial Intelligence
Media Type: Website Article
Readability: 
  • Expert
Summary:

Just as usability is a part of the design process, this article describes the need to incorporate an ethics evaluation tool in AI that makes ethical and moral decisions.

An Evaluation of Japan's Social Principles of Human-Centric AI

Source: OECD
Media Type: Website Resource
Summary:

An evaluation of Japan's Social Principles of Human-Centric AI.

An Evaluation of Singapore's Principles to Promote Fairness, Ethics, Accountability and Transparency in the Use of Artificial Intelligence and Data Analytics in Singapore’s Financial Sector

Source: OECD
Media Type: Website Resource
Summary:

An evaluation of principles to promote fairness, ethics, accountability and transparency in the use of artificial intelligence and data analytics in Singapore’s financial sector.

An Evaluation of the EU's Data Governance Act

Source: OECD
Media Type: Website Resource
Summary:

An evaluation of the EU's Data Governance Act.

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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