In this talk, we discuss the use of responsible artificial intelligence (AI) in a safe, trustworthy and ethical fashion, from a holistic vision.

AI has matured as a technology, which raises the need to establish frameworks for responsible, fair, inclusive, trusted, secure, transparent and responsible. Responsible AI is an emerging area of AI governance, developing AI from both an ethical and legal point of view.

A Responsible AI system requires ensuring auditability and accountability during its design, development and use, according to specifications and the applicable regulation of the domain of practice in which the AI system is to be used.

The design of Responsible AI systems for any application leads us to analyse a set of auditability requirements and metrics. We find a double vision, the technical requirements for Trustworthy AI (human oversight, privacy, fairness, and transparency) together with the requirements for high risk AI systems compliance defined in the European regulation AI ACT (Chapter 2).

This must be accompanied by other two critical aspects: a) development of associated models for AI safety; and b) to consider the ethical, legal, socio-economic and cultural (ELSEC) aspects of AI-based systems.

In this talk we will analyse this holistic vision of responsible AI systems, for design and auditability.

Francisco Herrera (SM’15) received his M.Sc. in Mathematics in 1988 and Ph.D. in Mathematics in 1991, both from the University of Granada, Spain. He is a Professor in the Department of Computer Science and Artificial Intelligence at the University of Granada and Director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI). He is an EurAI Fellow 2009 and IFSA Fellow 2013. He’s an academician at the Spanish Royal Academy of Engineering.

He has been the supervisor of 60 Ph.D. students. He has published more than 600 journal papers, receiving more than 139000 citations (Scholar Google, H-index 176). He has been nominated as a Highly Cited Researcher (in the fields of Computer Science and Engineering, respectively, 2014 to present, Clarivate Analytics). He acts as editorial member of a dozen of journals. His current research interests include among others, computational intelligence, information fusion and decision making, trustworthy artificial intelligence and data science (including data preprocessing, prediction and big data).

Committed to the importance of transmitting to society the results of the research, the formation of new generations of researchers, and the development of an ecosystem of digital innovation and artificial intelligence in Granada.