306 citations · 388 across the 11 of their papers we have counts for
5 papers · 1 filter
Discovering and Interpreting Biased Concepts in Online Communities
Xavier Ferrer-Aran, Tom van Nuenen, Natalia Criado +1
Language carries implicit human biases, functioning both as a reflection and a perpetuation of stereotypes that people carry with them. Recently, ML-based NLP methods such as word…
Discovering and Categorising Language Biases in Reddit
Xavier Ferrer, Tom van Nuenen, Jose M. Such +1
We present a data-driven approach using word embeddings to discover and categorise language biases on the discussion platform Reddit. As spaces for isolated user communities, platf…
Bias and Discrimination in AI: a cross-disciplinary perspective
Xavier Ferrer, Tom van Nuenen, Jose M. Such +2
With the widespread and pervasive use of Artificial Intelligence (AI) for automated decision-making systems, AI bias is becoming more apparent and problematic. One of its negative…
A Normative approach to Attest Digital Discrimination
Natalia Criado, Xavier Ferrer, Jose M. Such
Digital discrimination is a form of discrimination whereby users are automatically treated unfairly, unethically or just differently based on their personal data by a machine learn…
A model to support collective reasoning: Formalization, analysis and computational assessment
Jordi Ganzer, Natalia Criado, Maite Lopez-Sanchez +2
Inspired by e-participation systems, in this paper we propose a new model to represent human debates and methods to obtain collective conclusions from them. This model overcomes dr…