Libro "Artificial Intelligence Research and Development. Proceedings of the 25th International Conference of the Catalan Association for Artificial Intelligence"

Artificial intelligence is no longer solely the preserve of computer scientists and researchers; it is now a part of all our lives, and hardly a day goes by without discussion and debate about the implications of its many applications in the mainstream media.

This book presents the proceedings of CCIA 2023, the 25th International Conference of the Catalan Association for Artificial Intelligence, held from 25 - 27 October 2023 in Barcelona, Spain. CCIA serves as an annual forum welcoming participants from around the globe. The theme of the 2023 conference was Supportive AI, the main goals of which are to strengthen collaboration between research and industry by sharing the latest advances in artificial intelligence, and opening discussion about how AI can better support the current needs of industry.

A total of 54 submissions were received for the conference, of which the 26 full papers, 18 short papers and 6 abstracts included here were selected after peer review. The papers cover a wide range of topics in Artificial Intelligence, including machine learning, deep learning, social media evaluation, consensus-building, data science, recommender systems, and decision support systems, together with crucial applications of AI in fields such as health, education, disaster response, and the ethical impact of AI on society. The book also includes abstracts of the keynotes delivered by Professor Aida Kamišalić and Dr. Lluis Formiga.

Providing a useful overview of some of the latest developments in artificial intelligence, the book will be of interest to all those working in the field.

Itziar de Lecuona, profesora agregada del Departamento de Medicina y directora del Observatorio de Bioética y Derecho de la Universidad de Barcelona, es coautora de uno de los capítulos del libro: “Respect for Autonomy in the Machine Learning Pipeline”, escrito conjuntamente con Paula Subías-Beltrán, Oriol Pujol y Vicent Ribas Ripoll. Acceder y descargar capítulo.

This article examines the principle of autonomy and its significance in the ML pipeline from a transdisciplinary perspective. The authors argue that autonomy remains a theoretical concept and does not translate well into the real use of ML, leading to contradictory outcomes. The absence of an effective approach to integrating autonomy leads to the persistence of disparities.