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 under filters to view a selection of the speaking engagements and presentations by the dedicated team members and project collaborators of the Inclusive Design Research Centre (IDRC). While we feature contributions from various experts, most of the resources under this tag showcase the efforts of our esteemed director, Jutta Treviranus, whose pioneering work and insights in AI and inclusive AI continue to inspire and lead the field.

Filters

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

Tags

Media Types

Why Companies Need Artificial Intelligence Explainability

Media Type: Website Article
Readability: 
  • Intermediate
Topic: AI ethics and policy
Tags:
  • AI and Machine Learning
  • Ethics
  • Fairness

Why Data Remains the Greatest Challenge for Machine Learning Projects

Media Type: Website Article
Readability: 
  • Intermediate
Topic: AI design and methods (for AI experts)
Tags:
  • AI and Machine Learning
  • Business
  • Data Collection/Data Set
  • Data and Data Security
  • Ethics

Why Diversity Should Have a Critical Impact on Data Privacy

Media Type: Website Article
Readability: 
  • Intermediate
Topic: Work for people with disabilities in data science
Tags:
  • AI and Machine Learning
  • Bias
  • Data and Data Security
  • Inclusive Practice

Why Does AI Have to Be Nice? Researchers Propose “Antagonistic AI”

Media Type: Website Article
Readability: 
  • Intermediate
Topic: AI design and methods (for AI experts)
Tags:
  • AI and Machine Learning
  • Ethics
  • Fairness
  • Design/Methods

Why Do We Keep Repeating the Same Mistakes on AI?

Media Type: Website Article
Readability: 
  • Intermediate
Topic: AI ethics and policy
Tags:
  • AI and Machine Learning
  • Ethics
  • Bias

Why Eliminating Bias in AI Is Key to Its Success

Media Type: Website Article
Readability: 
  • Intermediate
Topic: AI ethics and policy
Tags:
  • Bias
  • Ethics
  • Fairness

Why Everyone Is Mad about New York’s AI Hiring Law

Media Type: Website Article
Readability: 
  • Intermediate
Topic: Work for people with disabilities in data science
Tags:
  • AI and Machine Learning
  • Employment
  • Ethics
  • Framework
  • Government

Why Facebook Shutting Down Its Old Facial Recognition System Doesn’t Matter

Media Type: Website Article
Readability: 
  • Intermediate
Topic: AI ethics and policy
Tags:
  • Ethics
  • Trust
  • Business
  • Design/Methods

Why Fairness Cannot Be Automated: Bridging the Gap between EU Nondiscrimination Law and AI

Media Type: PDF Article
Readability: 
  • Expert
Topic: AI ethics and policy
Tags:
  • Bias
  • AI and Machine Learning
  • Fairness
  • Ethics

Why It’s So Damn Hard to Make AI Fair and Unbiased

Media Type: Website Article
Readability: 
  • Intermediate
Topic: AI ethics and policy
Tags:
  • Bias
  • Design/Methods
  • Ethics
  • Fairness

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 under filters to view a selection of the speaking engagements and presentations by the dedicated team members and project collaborators of the Inclusive Design Research Centre (IDRC). While we feature contributions from various experts, most of the resources under this tag showcase the efforts of our esteemed 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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