Fairness and Bias in Robot Learning

no code implementations • 7 Jul 2022 • Laura Londoño, Juana Valeria Hurtado, Nora Hertz, Philipp Kellmeyer, Silja Voeneky, Abhinav Valada

In this work, we present the first survey on fairness in robot learning from an interdisciplinary perspective spanning technical, ethical, and legal challenges.

BIG-bench Machine Learning Fairness

Towards a Governance Framework for Brain Data

no code implementations • 24 Sep 2021 • Marcello Ienca, Joseph J. Fins, Ralf J. Jox, Fabrice Jotterand, Silja Voeneky, Roberto Andorno, Tonio Ball, Claude Castelluccia, Ricardo Chavarriaga, Hervé Chneiweiss, Agata Ferretti, Orsolya Friedrich, Samia Hurst, Grischa Merkel, Fruzsina Molnar-Gabor, Jean-Marc Rickli, James Scheibner, Effy Vayena, Rafael Yuste, Philipp Kellmeyer

The increasing availability of brain data within and outside the biomedical field, combined with the application of artificial intelligence (AI) to brain data analysis, poses a challenge for ethics and governance.

Ethics