RT Journal Article
T1 Connecting the dots in trustworthy Artificial Intelligence: 												From AI principles, ethics, and key requirements to responsible AI systems and regulation
A1 Díaz-Rodríguez, Natalia
A1 Del Ser, Javier
A1 Coeckelbergh, Mark
A1 López de Prado, Marcos
A1 Herrera-Viedma, Enrique
A1 Herrera, Francisco
AB Trustworthy 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.
SN 1566-2535
YR 2023
FD 2023-11
LK https://hdl.handle.net/11556/4928
UL https://hdl.handle.net/11556/4928
LA eng
NO Díaz-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
NO Publisher Copyright: © 2023 The Author(s)
NO N. 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 ).
DS TECNALIA Publications
RD 28 sept 2024