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Toward Responsible Artificial Intelligence Systems: Safety and Trustworthiness

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Engineering of Computer-Based Systems (ECBS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14390))

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Abstract

This short paper associated to the invited lectures introduces two key concepts essential to artificial intelligence (AI), the area of trustworthy AI and the concept of responsible AI systems, fundamental to understand the technological, ethical and legal context of the current framework of debate and regulation of AI. The aim is to understand their dimension and their interrelation with the rest of the elements involved in the regulation and auditability of AI algorithms in order to achieve safe and trusted AI. We highlight concepts in bold in order to fix the moment when they are described in context.

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Acknowledgement

I would like to thank the co-authors of the paper [3] and the members of the Spanish STAIRS (Safe and trustworthy AI) network proposal for the enriching discussions. These have allowed me to come up with the present lecture and a global view of the topic.

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Authors and Affiliations

  1. Department Computer Sciences and Artificial Intelligence, Andalusian Research Institute on Data Science and Computational Intelligence, University of Granada, Granada, Spain

    Francisco Herrera

Authors
  1. Francisco Herrera
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Corresponding author

Correspondence to Francisco Herrera .

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Editors and Affiliations

  1. Charles University, Praha, Czech Republic

    Jan Kofroň

  2. University of Limerick, Limerick, Ireland

    Tiziana Margaria

  3. Mälardalen University, Västerås, Sweden

    Cristina Seceleanu

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Herrera, F. (2024). Toward Responsible Artificial Intelligence Systems: Safety and Trustworthiness. In: Kofroň, J., Margaria, T., Seceleanu, C. (eds) Engineering of Computer-Based Systems. ECBS 2023. Lecture Notes in Computer Science, vol 14390. Springer, Cham. https://doi.org/10.1007/978-3-031-49252-5_2

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  • DOI: https://doi.org/10.1007/978-3-031-49252-5_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-49251-8

  • Online ISBN: 978-3-031-49252-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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