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The Eticas AI Risk Taxonomy: Open Infrastructure for Operationalizing AI Audits
Gemma Galdon Clavell, Pablo Accuosto, Usman Gohar
The rapid deployment of AI systems across high-stakes domains has created urgent demand for standardized evaluation, yet the field remains fragmented across competing risk taxonomi…
Open Veins of Algorithmic Auditing: Why AI Assessment Lags Behind Its Deployment in the Global South
Gemma Galdon Clavell, Alexandra Magaard
Artificial intelligence is being deployed across the Global South at a pace matching or exceeding the Global North, yet AI governance has not kept pace, and the gap is far wider in…
Demographic Benchmarking: Bridging Socio-Technical Gaps in Bias Detection
Gemma Galdon Clavell, Rubén González-Sendino, Paola Vazquez
Artificial intelligence (AI) models are increasingly autonomous in decision-making, making pursuing responsible AI more critical than ever. Responsible AI (RAI) is defined by its c…
What we learned while automating bias detection in AI hiring systems for compliance with NYC Local Law 144
Gemma Galdon Clavell, Rubén González-Sendino
Since July 5, 2023, New York City's Local Law 144 requires employers to conduct independent bias audits for any automated employment decision tools (AEDTs) used in hiring processes…