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.

Human-centric Dev-X-Ops process for trustworthiness in AI-based systems

Calabro' A.;Daoudagh S.;Marchetti E.;
2024

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.
2024
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
978-989-758-718-4
Agile
AI
Cybersecurity
DevOps
Holistic
Human-Centric
Lifecycle
Privacy
Trustworthiness
File in questo prodotto:
File Dimensione Formato  
2024_Human-Centric Dev-X-Ops Process for Trustworthiness in AI-Based Systems.pdf

accesso aperto

Descrizione: Human-Centric Dev-X-Ops Process for Trustworthiness in AI-Based Systems
Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 1.09 MB
Formato Adobe PDF
1.09 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/608133
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact