activity
20212024
most citedGuidelines to Develop Trustworthy Conversational Agents for Children

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CY20242 cited

Testing autonomous vehicles and AI: perspectives and challenges from cybersecurity, transparency, robustness and fairness

David Fernández Llorca, Ronan Hamon, Henrik Junklewitz +9

This study explores the complexities of integrating Artificial Intelligence (AI) into Autonomous Vehicles (AVs), examining the challenges introduced by AI components and the impact…

cs.IR2023

Behind Recommender Systems: the Geography of the ACM RecSys Community

Lorenzo Porcaro, João Vinagre, Pedro Frau +2

The amount and dissemination rate of media content accessible online is nowadays overwhelming. Recommender Systems filter this information into manageable streams or feeds, adapted…

cs.IR2023

Fairness and Diversity in Information Access Systems

Lorenzo Porcaro, Carlos Castillo, Emilia Gómez +1

Among the seven key requirements to achieve trustworthy AI proposed by the High-Level Expert Group on Artificial Intelligence (AI-HLEG) established by the European Commission (EC),…

cs.HC20223 cited

Guidelines to Develop Trustworthy Conversational Agents for Children

Marina Escobar-Planas, Emilia Gómez, Carlos-D Martínez-Hinarejos

Conversational agents (CAs) embodied in speakers or chatbots are becoming very popular in some countries, and despite their adult-centred design, they have become part of children'…

cs.SD2021

Personalized musically induced emotions of not-so-popular Colombian music

Juan Sebastián Gómez-Cañón, Perfecto Herrera, Estefanía Cano +1

This work presents an initial proof of concept of how Music Emotion Recognition (MER) systems could be intentionally biased with respect to annotations of musically induced emotion…