This track welcomes scholars and practitioners presenting applied cases of tools or approaches to fairness, accountability and transparency, including the domains of government, the public sector and civil society. Insights from activism and advocacy are also welcomed. Operational insights from practice should be framed in relation to the overall agenda of conceptualizing ACM FAT* issues, and could overlap with the topics mentioned in other tracks. Submissions may focus on lessons from the deployment of systems, applications and software, on their auditing and evaluation, or on governance issues in relation to these. They may also offer insights from activism and advocacy, and the central role these play in conceptualizing what is fair and accountable, assessing real-world and deployed systems, and communicating with the broader public.
Each paper will receive 3 peer-reviews and, possibly, by 1 cross-disciplinary review drawn from the program committees of Tracks 1-3. The evaluation criteria for the review will include:
The selection of papers will follow the same high quality standards of the other tracks.
4.1 Deployed applications, systems and software: covers large-scale deployed systems and components (software or open source libraries) that aim to become world-recognized tools for fairness, accountability or transparency aware computing systems.
4.2 Algorithmic audits, evaluations, benchmarks of real-world systems: covers qualitative, quantitative, and experimental real-world experiences on auditing deployed computing systems, on comparing state-of-the-art methodologies, and on collecting gold standard datasets.
4.3 Experiences in governance: standardization, activism and communication. Papers cover real-world experiences in the governance of ACM FAT* issues in the development of standards, in political and civil rights activism, in journalism and community engagement.
Authors should select one or more main discipline(s) and/or domain(s) for their paper, from the lists of Track T1-T3. Peer reviewers for a paper will be experts in the selected discipline(s)/domain(s), so please select them judiciously.