306 citations · 388 across the 11 of their papers we have counts for
11 papers
Collaborative filtering to capture AI user's preferences as norms
Marc Serramia, Natalia Criado, Michael Luck
Customising AI technologies to each user's preferences is fundamental to them functioning well. Unfortunately, current methods require too much user involvement and fail to capture…
Predicting Privacy Preferences for Smart Devices as Norms
Marc Serramia, William Seymour, Natalia Criado +1
Smart devices, such as smart speakers, are becoming ubiquitous, and users expect these devices to act in accordance with their preferences. In particular, since these devices gathe…
Resource allocation in dynamic multiagent systems
Niall Creech, Natalia Criado Pacheco, Simon Miles
Resource allocation and task prioritisation are key problem domains in the fields of autonomous vehicles, networking, and cloud computing. The challenge in developing efficient and…
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…