Artificial intelligence across Europe: a study on awareness, attitude and trust

This paper presents the results of an extensive study investigating the opinions on Artificial Intelligence (AI) of a sample of 4,006 European citizens from eight distinct countries (France, Germany, Italy, Netherlands, Poland, Romania, Spain, and Sweden). The aim of the study is to gain a better un...

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Detalles Bibliográficos
Autores: Scantamburlo, Teresa, Cortés Martínez, Àtia, Foffano, Francesca, Barrué Subirana, Cristian|||0000-0002-3342-1085, Distefano, Veronica, Pham, Long, Fabris, Alessandro
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/418541
Acceso en línea:https://hdl.handle.net/2117/418541
https://dx.doi.org/10.1109/tai.2024.3461633
Access Level:acceso abierto
Palabra clave:Trustworthy AI
Public perception
AI policy
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
Àrees temàtiques de la UPC::Informàtica::Aspectes socials
Descripción
Sumario:This paper presents the results of an extensive study investigating the opinions on Artificial Intelligence (AI) of a sample of 4,006 European citizens from eight distinct countries (France, Germany, Italy, Netherlands, Poland, Romania, Spain, and Sweden). The aim of the study is to gain a better understanding of people’s views and perceptions within the European context, which is already marked by important policy actions and regulatory processes. To survey the perceptions of the citizens of Europe, we design and validate a new questionnaire (PAICE) structured around three dimensions: people’s awareness, attitude, and trust. We observe that while awareness is characterized by a low level of self-assessed competency, the attitude toward AI is very positive for more than half of the population. Reflecting on the collected results, we highlight implicit contradictions and identify trends that may interfere with the creation of an ecosystem of trust and the development of inclusive AI policies. The introduction of rules that ensure legal and ethical standards, along with the activity of high-level educational entities, and the promotion of AI literacy are identified as key factors in supporting a trustworthy AI ecosystem.We make some recommendations for AI governance focused on the European context and conclude with suggestions for future work.