The ACM FAccT Network is a network of workshops, special issues, and other opportunities to publish and engage with fairness, accountability, and transparency scholars across connected disciplines.
The authors explore the implications of model multiplicity – the phenomenon in the development of machine learning models that produces several model specifications for a given task that differ in various ways but deliver equal accuracy.
