ACM FAccT 2025 Award Winners

For explicating how generative AI language technologies shape the construction of scientific knowledge by mediating the expression of language ideologies in peer review.

For independent evaluation demonstrating how interventions intended to prevent discrimination in ad delivery reduce utility for users and advertisers without improving individuals' access to opportunity.

For introducing an extensible framework that supports external audits of whether LLM-based systems work equally well for speakers of different dialects.

For in-depth mixed-methods analysis that demonstrates the inadequacy of bias audits conducted pursuant to audit-mandating legislation.

For rigorous literature review that deepens our understanding of the coverage of existing algorithm audits and highlights key gaps.

For introducing a community-centred data collection framework to help address representational gaps in data.