Intersectional Approaches to Data Can Inform the Development of Trustworthy Digital Identity Systems

Explore intersectional approaches to data for developing trustworthy digital identity systems in this 28-minute conference talk from the Alan Turing Institute. Learn how intersectional theory and practice can benefit digital identity systems as presented by experts from the University of Sheffield. Examine the challenges, research, and preliminary results in this field, along with suggestions for implementation. Gain insights into the data ecosystem and roadmap for creating more inclusive and reliable digital identity frameworks. Understand the importance of legal recognition of identity and how digital innovations can enhance transparency, fairness, and governance in identity systems while addressing potential privacy concerns.

Introduction
Intersectionality
Challenges
Research
Preliminary results
Suggestions
Questions
Data ecosystem
Roadmap
Conclusion