01 Apr 22 - 31 Mar 23
01 Apr 22 - 31 Mar 23
This project explores how intersectional approaches can inform the design and deployment of TAS towards the creation of an inclusive, fair and just world. Intersectionality is a growing area of research and practice that can address issues around equity in TAS due to the unique way in which it understands and engages with both individual and structural aspects of inequality, discrimination and injustice within systems of oppression (racism, sexism, classism).
Our research aims to investigate how intersectional frameworks are produced, drawn upon and can be applied within the design and deployment of TAS. We focus on the health and maritime sectors to address a range of individual, technical, systemic, place-based, professional, cultural and institutional issues from an intersectional perspective. The research engages with two guiding questions to meet this aim:
1) How should TAS practitioners include people at risk of marginalisation or discrimination in their work?
2) How does intersectionality, as a way of understanding and explaining complexity in the world, in people and in human experience, help TAS practitioners to address identified issues around intersecting inequality in their work?
Our methodology incorporates mixed methods including interviews with practitioners and stakeholders, participatory design workshops and iterative testing to create meaningful guidance that supports our partner goals, responds to the needs of underrepresented communities, and increases meaningful participation and trustworthiness in TAS design and deployment.
Project Blog | Intersectional Approaches to Design and Deployment of Trustworthy Autonomous Systems
Lecturer in AI Education, King’s College London
Research Fellow in Trustworthy Autonomous Systems, University of Southampton
Senior Lecturer in Health Informatics, University of Sheffield
Senior Lecturer in Information Systems, University of Sheffield
Researcher on Intersectional TAS, King’s College London
