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Authors: Antonello Calabrò 1 ; Said Daoudagh 1 ; Eda Marchetti 1 ; Oum-El-kheir Aktouf 2 and Annabelle Mercier 2

Affiliations: 1 Institute of Information Science and Technologies “A. Faedo”, National Research Council of Italy (CNR), Pisa, Italy ; 2 Grenoble INP, LCIS - Université Grenoble Alpes, Valence, France

Keyword(s): AI, Agile, Cybersecurity, DevOps, Holistic, Human-Centric, Lifecycle, Privacy, Trustworthiness.

Abstract: Ai’s potential economic growth necessitates ethical and socially responsible AI systems. Increasing human awareness and the adoption of human-centric solutions that incorporate, combine, and assure by design the most critical properties (such as security, safety, trust, transparency, and privacy) during the development will be a challenge to mitigate and effectively prevent issues in the era of AI. In that view, this paper proposes a human-centric Dev-X-Ops process (DXO4AI) for trustworthiness in AI-based systems. DXO4AI leverages existing solutions, focusing on the AI development lifecycle with a by-design solution for multiple desired properties. It integrates multidisciplinary knowledge and stakeholder focus.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Calabrò, A.; Daoudagh, S.; Marchetti, E.; Aktouf, O. and Mercier, A. (2024). Human-Centric Dev-X-Ops Process for Trustworthiness in AI-Based Systems. In Proceedings of the 20th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-718-4; ISSN 2184-3252, SciTePress, pages 288-295. DOI: 10.5220/0012998700003825

@conference{webist24,
author={Antonello Calabrò. and Said Daoudagh. and Eda Marchetti. and Oum{-}El{-}kheir Aktouf. and Annabelle Mercier.},
title={Human-Centric Dev-X-Ops Process for Trustworthiness in AI-Based Systems},
booktitle={Proceedings of the 20th International Conference on Web Information Systems and Technologies - WEBIST},
year={2024},
pages={288-295},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012998700003825},
isbn={978-989-758-718-4},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Web Information Systems and Technologies - WEBIST
TI - Human-Centric Dev-X-Ops Process for Trustworthiness in AI-Based Systems
SN - 978-989-758-718-4
IS - 2184-3252
AU - Calabrò, A.
AU - Daoudagh, S.
AU - Marchetti, E.
AU - Aktouf, O.
AU - Mercier, A.
PY - 2024
SP - 288
EP - 295
DO - 10.5220/0012998700003825
PB - SciTePress

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