6 citations · 12 across the 3 of their papers we have counts for
6 papers
Monitoring Diversity of AI Conferences: Lessons Learnt and Future Challenges in the DivinAI Project
Isabelle Hupont, Emilia Gomez, Songul Tolan +2
DivinAI is an open and collaborative initiative promoted by the European Commission's Joint Research Centre to measure and monitor diversity indicators related to AI conferences, w…
How diverse is the ACII community? Analysing gender, geographical and business diversity of Affective Computing research
Isabelle Hupont, Songül Tolan, Ana Freire +3
ACII is the premier international forum for presenting the latest research on affective computing. In this work, we monitor, quantify and reflect on the diversity in ACII conferenc…
Addressing multiple metrics of group fairness in data-driven decision making
Marius Miron, Songül Tolan, Emilia Gómez +1
The Fairness, Accountability, and Transparency in Machine Learning (FAT-ML) literature proposes a varied set of group fairness metrics to measure discrimination against socio-demog…
Fair and Unbiased Algorithmic Decision Making: Current State and Future Challenges
Songül Tolan
Machine learning algorithms are now frequently used in sensitive contexts that substantially affect the course of human lives, such as credit lending or criminal justice. This is d…
A multidisciplinary task-based perspective for evaluating the impact of AI autonomy and generality on the future of work
Enrique Fernández-Macías, Emilia Gómez, José Hernández-Orallo +4
This paper presents a multidisciplinary task approach for assessing the impact of artificial intelligence on the future of work. We provide definitions of a task from two main pers…
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour
Emilia Gómez, Carlos Castillo, Vicky Charisi +23
This document contains the outcome of the first Human behaviour and machine intelligence (HUMAINT) workshop that took place 5-6 March 2018 in Barcelona, Spain. The workshop was org…