Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation

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dc.contributor.authorDíaz-Rodríguez, Natalia
dc.contributor.authorDel Ser, Javier
dc.contributor.authorCoeckelbergh, Mark
dc.contributor.authorLópez de Prado, Marcos
dc.contributor.authorHerrera-Viedma, Enrique
dc.contributor.authorHerrera, Francisco
dc.contributor.institutionIA
dc.date.accessioned2024-09-06T10:45:03Z
dc.date.available2024-09-06T10:45:03Z
dc.date.issued2023-11
dc.descriptionPublisher Copyright: © 2023 The Author(s)
dc.description.abstractTrustworthy Artificial Intelligence (AI) is based on seven technical requirements sustained over three main pillars that should be met throughout the system's entire life cycle: it should be (1) lawful, (2) ethical, and (3) robust, both from a technical and a social perspective. However, attaining truly trustworthy AI concerns a wider vision that comprises the trustworthiness of all processes and actors that are part of the system's life cycle, and considers previous aspects from different lenses. A more holistic vision contemplates four essential axes: the global principles for ethical use and development of AI-based systems, a philosophical take on AI ethics, a risk-based approach to AI regulation, and the mentioned pillars and requirements. The seven requirements (human agency and oversight; robustness and safety; privacy and data governance; transparency; diversity, non-discrimination and fairness; societal and environmental wellbeing; and accountability) are analyzed from a triple perspective: What each requirement for trustworthy AI is, Why it is needed, and How each requirement can be implemented in practice. On the other hand, a practical approach to implement trustworthy AI systems allows defining the concept of responsibility of AI-based systems facing the law, through a given auditing process. Therefore, a responsible AI system is the resulting notion we introduce in this work, and a concept of utmost necessity that can be realized through auditing processes, subject to the challenges posed by the use of regulatory sandboxes. Our multidisciplinary vision of trustworthy AI culminates in a debate on the diverging views published lately about the future of AI. Our reflections in this matter conclude that regulation is a key for reaching a consensus among these views, and that trustworthy and responsible AI systems will be crucial for the present and future of our society.en
dc.description.sponsorshipN. Díaz-Rodríguez is currently supported by a Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowship with agreement ID: 101059332 and the Leonardo Scholarship for Researchers and Cultural Creators 2022 from the BBVA Foundation. J. Del Ser has received funding support from the Spanish Centro para el Desarrollo Tecnológico Industrial (CDTI) through the AI4ES project, and from the Basque Government (Eusko Jaurlaritza) through the Consolidated Research Group MATHMODE ( IT1456-22 ). F. Herrera has received funding support from the Spanish Ministry of Science and Innovation (grant PID2020-119478GB-I00 ).
dc.description.statusPeer reviewed
dc.identifier.citationDíaz-Rodríguez , N , Del Ser , J , Coeckelbergh , M , López de Prado , M , Herrera-Viedma , E & Herrera , F 2023 , ' Connecting the dots in trustworthy Artificial Intelligence : From AI principles, ethics, and key requirements to responsible AI systems and regulation ' , Information Fusion , vol. 99 , 101896 . https://doi.org/10.1016/j.inffus.2023.101896
dc.identifier.doi10.1016/j.inffus.2023.101896
dc.identifier.issn1566-2535
dc.identifier.urihttps://hdl.handle.net/11556/4928
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85165229141&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofInformation Fusion
dc.relation.projectIDFundación BBVA, FBBVA
dc.relation.projectIDH2020 Marie Skłodowska-Curie Actions, MSCA, 101059332
dc.relation.projectIDCentro para el Desarrollo Tecnológico Industrial, CDTI
dc.relation.projectIDEusko Jaurlaritza, IT1456-22
dc.relation.projectIDMinisterio de Ciencia e Innovación, MICINN, PID2020-119478GB-I00
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsAI ethics
dc.subject.keywordsAI regulation
dc.subject.keywordsRegulatory sandbox
dc.subject.keywordsResponsible AI systems
dc.subject.keywordsTrustworthy AI
dc.subject.keywordsSoftware
dc.subject.keywordsSignal Processing
dc.subject.keywordsInformation Systems
dc.subject.keywordsHardware and Architecture
dc.titleConnecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulationen
dc.typejournal article
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