Practicing equity in the AI ecosystem: Co-designing solutions for sociotechnical challenges

My research aims to assess the performance of Artificial intelligence (AI) audits using an equity approach.I explore equity as a guiding value in the deployment of accountability mechanisms to assess compliance with the EU AI Act (AIA).I use feminist theory to conceptualise equity as a translational value between different fields in the AI ecosystem that can foster reliable AI.The research integrate legal, ethical, and technical considerations to develop and validate a framework that ensures the reliability of AI audits while protecting fundamental rights.The methodology includes legal analysis, feminist research, and empirical investigation through codesign and participatory workshops.The research timeline spans three years, with a focus on building a concept of equity, developing indicators for the framework, and collecting inputs from workshops.By leveraging equity as a guiding value, my research aims to develop actionable frameworks useful to the community involved in the AI development and deployment.