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.

Search Term:

“{{ searchTerm }}”

Media Type: {{ item.type }}

Readability: 

{{ readabilityLevel }},

Topic: {{ resourceCategories.filter(cat => cat.focuses.includes(item.focus))[0].categoryLabel }} {{ item.focus }}

Tags:

{{ tags.filter(singleTag => singleTag.value === tag)[0].label }}

Resources

Filters

Topics

Tags

Media Types

Who’s Watching? What You Need to Know About Personal Data Security

Why AI Bias Can’t Be Solved with More AI

Why AI Fairness Conversations Must Include Disabled People

Why AI Fairness Tools Might Actually Cause More Problems

Why AI Governance Is Important for Building More Trustworthy, Explainable AI

Why Algorithmic Auditing Can’t Fully Cope with AI Bias in Hiring

Why Are Artificial Intelligence Systems Biased?

Why Are We Using Black Box Models in AI When We Don’t Need To? A Lesson from an Explainable AI Competition

Why Businesses Need Explainable AI—and How to Deliver It

Why Companies Are Thinking Twice about Using Artificial Intelligence

Resources

Filters

Topics

Tags

Media Types

{{ searchResult }}

Search Term:

{{ item.title }}