By connecting smaller organisations more closely, we aim to facilitate a community which can increase its ability to act collectively and effectively. While academia often focuses on technical methods, CSOs bring their own approaches, situated in practice and grounded in specific cases.
Documenting and comparing these practices will help create a more complete picture of how AI audits can be conducted under real-world conditions. By co-creating, mapping, and presenting this knowledge, we aim to support reflection within civil society itself, while also making it accessible to researchers, policymakers, and other actors.
01
Objective One.
Co-create a concrete, wiki-based digital knowledge-sharing resource useful for the everyday work of CSOs critically auditing AI systems.
02
Objective Two.
Strengthen collaboration and knowledge transfer among and between CSOs and academic bodies working on digital rights in the EU.
03
Objective Three.
Develop a transversal understanding of how CSOs already investigate and evaluate AI systems.
