2 papers
cs.LG2020
How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees
Ana Valdivia, Javier Sánchez-Monedero, Jorge Casillas
Fair machine learning works have been focusing on the development of equitable algorithms that address discrimination of certain groups. Yet, many of these fairness-aware approache…
cs.CY2019
The politics of deceptive borders: 'biomarkers of deceit' and the case of iBorderCtrl
Javier Sánchez-Monedero, Lina Dencik
This paper critically examines a recently developed proposal for a border control system called iBorderCtrl, designed to detect deception based on facial recognition technology and…