The project team first reviewed the state-of-the-art tools and instruments currently available for algorithmic transparency, examining their design, scope, and effectiveness. By analyzing existing frameworks, the work aimed to highlight innovative approaches and areas for improvement in creating accessible, user-friendly systems that allow citizens and stakeholders to understand how algorithms influence governance.

Secondly, a comparative analysis of case studies from Chile, the EU, and the UK provides practical insights into how repositories of public algorithms have been developed and implemented. The project identified successes, challenges, and transferable lessons from these case studies to help guide similar efforts in other jurisdictions.

Finally, the project delivered a set of practical tools, guidelines, and policy recommendations to support governments worldwide in adopting and maintaining transparency in their algorithmic systems. By fostering a culture of openness, fairness, and accountability, the project seeks to strengthen public trust in AI-driven decision-making, ensure equitable outcomes, and promote the ethical deployment of algorithms in public governance.

Building on this first phase of the work, in 2025, CEIMIA entered a partnership with the UK’s Department for Science, Innovation and Technology (DSIT) to implement these best practices. Specific objectives of this second phase of the work include refining the UK’s Algorithmic Transparency Recording Standard Template, creating practical guidance for public sector bodies on implementing these principles, and developing a dissemination plan to raise awareness.