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 co-design 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.