Trustworthy Artificial Intelligence: Nature, Requirements, Regulation, and Emerging Discussions

Francisco Herrera, Andres Herrera, Javier Del Ser, Enrique Herrera-Viedma and Marcos López de Prado

Chapter 12 in Transactions of ADIA Lab:Interdisciplinary Advances in Data and Computational Science, 2025, pp 317-342 from World Scientific Publishing Co. Pte. Ltd.

Abstract: Trustworthy artificial intelligence (TAI) is a framework and critical goal for developing and practically deploying reliable and ethical AI systems, properties essential for user confidence, societal acceptance, and responsible use. In this chapter, we explore TAI from three perspectives: (1) the importance of TAI and why it is essential; (2) a brief analysis of TAI requirements and characteristics as proposed by the high-level expert group on artificial intelligence commissioned by the European Commission and the American National Institute of Standards and Technology, preceded by a short discussion on trust in AI; and (3) an analysis of TAI’s role within emerging discussions on AI regulation and governance. We also review contributions from the literature, offering reflections that complement this chapter’s holistic vision of TAI, from theory to practice. TAI is expected to play a crucial role in the development of responsible AI systems, ensuring auditability and accountability throughout the design, development, and utilization phases, thereby creating ethical, reliable, and safe AI systems from a technological perspective.

Keywords: Computational Science; Data Science; AI Applications; Climate Science; Medical Imaging; Sustainability; Interdisciplinary Research; Data Science; Mathematical and Quantitative Finance (search for similar items in EconPapers)
JEL-codes: C45 C63 G11 Q54 (search for similar items in EconPapers)
Date: 2025
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