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Gonzalez et al., 2025 - Google Patents

Introducing RUM: A Methodological Contribution for Engineering Trustworthy AI Components in Industrial Systems

Gonzalez et al., 2025

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Document ID
2402537327801834913
Author
Gonzalez M
Cantat L
Pasini K
Publication year
Publication venue
AI Trustworthiness and Risk Assessment for Challenged Contexts (ATRACC)-AAAI 2025 Fall Symposium

External Links

Snippet

We introduce RUM, a unified, lifecycle-aware framework for facilitating the engineering and assessing Trustworthy AI Components (AICs). Unlike model-centric evaluations, RUM treats AICs as indivisible units whose behavior must be understood across specification …
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Classifications

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    • G06Q10/00—Administration; Management
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    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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