Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Ruta; Binkyte, Ivaxi; Sheth, Zhijing; Jin, Mohammad; Havaei, Bernhard; Schölkopf, Mario Fritz
2025
Safety is Essential for Responsible Open-Ended Systems
Ivaxi; Sheth, Jan; Wehner, Sahar; Abdelnabi, Ruta; Binkyte, Mario Fritz
2025
Alvolution-Al and digital technologies in the European Union
Eva Poptcheva, Oana Balalau, Oana Goga, Herve Debar, Marceau Coupechoux, Miguel Colom, Ruta Binkyte, Juan Herrera, Bram Vanderborght
2024
BaBE: Enhancing Fairness via Estimation of Explaining Variables
Ruta Binkyte, Daniele Gorla, Catuscia Palamidessi
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, Conference on Fairness, Accountability and Transparency, 2024, pp. 1917--1925
Causal Discovery Under Local Privacy
Ruta Binkyte, Carlos Antonio Pinzóon, Szilvia Lestyaan, Kangsoo Jung, Héeber Hwang Arcolezi, C. Palamidessi
CLEaR, 2024
Tejumade Afonja, Ivaxi Sheth, Ruta Binkyte, Waqar Hanif, Thomas Ulas, Matthias Becker, Mario Fritz
arXiv preprint, 2024
Ruta Binkyte, Karima Makhlouf, Carlos Pinzon, Sami Zhioua, Catuscia Palamidessi
NeurIPS Workshop on Algorithmic Fairness through the Lens of Causality and Privacy, PMLR, 2023, pp. 7--22
Distant Reading and Viewing: "Big Questions" in Digital Art History and Digital Literary Studies
Ruta Binkyte
Digital Humanities Quarterly, 2023
Gender and sex bias in COVID-19 epidemiological data through the lens of causality
Natalia Díaz Rodríguez, Ruta Binkyte, Wafae Bakkali, Sannidhi Bookseller, Paola Tubaro, Andrius Bacevicius, Sami Zhioua, Raja Chatila
Information Processing & Management, 2023
Shedding light on underrepresentation and Sampling Bias in machine learning
Sami Zhioua, Ruta Binkyte
arXiv preprint arXiv:2306.05068, 2023
On the need and applicability of causality for fair machine learning
Binkyte Ruta, Ljupcho Grozdanovski, Sami Zhioua
arXiv preprint arXiv:2207.04053, 2022