activity
20172022
most citedSociety-in-the-Loop: Programming the Algorithmic Social Contract

467 citations · 506 across the 10 of their papers we have counts for

collaborators

17 papers

cs.CY20221 cited

Longitudinal Complex Dynamics of Labour Markets Reveal Increasing Polarisation

Shahad Althobaiti, Ahmad Alabdulkareem, Judy Hanwen Shen +4

In this paper we conduct a longitudinal analysis of the structure of labour markets in the US over 7 decades of technological, economic and policy change. We make use of network sc…

cs.CY202117 cited

Artificial Intelligence as an Anti-Corruption Tool (AI-ACT) -- Potentials and Pitfalls for Top-down and Bottom-up Approaches

Nils Köbis, Christopher Starke, Iyad Rahwan

Corruption continues to be one of the biggest societal challenges of our time. New hope is placed in Artificial Intelligence (AI) to serve as an unbiased anti-corruption agent. Eve…

physics.soc-ph20201 cited

Impossible by Conventional Means: Ten Years on from the DARPA Red Balloon Challenge

Alex Rutherford, Manuel Cebrian, Inho Hong +1

Ten years ago, DARPA launched the 'Network Challenge', more commonly known as the 'DARPA Red Balloon Challenge'. Ten red weather balloons were fixed at unknown locations in the US.…

cs.CV2020

SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning

Ignacio Serna, Aythami Morales, Julian Fierrez +3

We propose a discrimination-aware learning method to improve both accuracy and fairness of biased face recognition algorithms. The most popular face recognition benchmarks assume a…

econ.GN2020

China's First Workforce Skill Taxonomy

Weipan Xu, Xiaozhen Qin, Xun Li +5

China is the world's second largest economy. After four decades of economic miracles, China's economy is transitioning into an advanced, knowledge-based economy. Yet, we still lack…

cs.CV2019

Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics

Ignacio Serna, Aythami Morales, Julian Fierrez +3

The most popular face recognition benchmarks assume a distribution of subjects without much attention to their demographic attributes. In this work, we perform a comprehensive disc…