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.

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What We Learned Auditing Sophisticated AI for Bias

When AI Reads Medical Images: Regulating to Get It Right

When the Machine Meets the Expert: An Ethnography of Developing AI for Hiring

When We Design for Disability, We All Benefit

White Faces Generated by AI Are More Convincing Than Photos, Finds Survey

Who Audits the Auditors? Recommendations from a Field Scan of the Algorithmic Auditing Ecosystem

Who Audits the Auditors? Recommendations from a Field Scan of the Algorithmic Auditing Ecosystem (Overview)

WHO Calls for Safe and Ethical AI for Health

Who Is Responsible for Biased and Intrusive Algorithms

WHO Releases AI Ethics and Governance Guidance for Large Multi-modal Models

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