5 papers
Implementing Causal Perception: Competing SCMs and Situated Fairness
Jose M. Ãlvarez, Jose M. Álvarez
Causal perception occurs when agents with competing Structural Causal Models (SCMs) of the same system infer different probability distributions, including the hypothetical distrib…
Mutatis Mutandis: Revisiting the Comparator in Discrimination Testing
Jose M. Alvarez, Salvatore Ruggieri
Testing for individual discrimination involves deriving a profile, the comparator, similar to the one making the discrimination claim, the complainant, based on a protected attribu…
Toward A Causal Framework for Modeling Perception
Jose M. Alvarez, Salvatore Ruggieri
Perception occurs when individuals interpret the same information differently. It is a known cognitive phenomenon with implications for bias in human decision-making. Perception, h…
Counterfactual Situation Testing: From Single to Multidimensional Discrimination
Jose M. Alvarez, Salvatore Ruggieri
We present counterfactual situation testing (CST), a causal data mining framework for detecting individual discrimination in a dataset of classifier decisions. CST answers the ques…
A Causal Framework for Evaluating Deferring Systems
Filippo Palomba, Andrea Pugnana, José Manuel Alvarez +1
Deferring systems extend supervised Machine Learning (ML) models with the possibility to defer predictions to human experts. However, evaluating the impact of a deferring strategy…