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Involving before Evolving: A Vision for Trustworthy Enterprise Digital Twin Engineering

Paper recorded by Signals 4 on 2026-09-11 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-11 on arXiv · recorded by Signals 4 on 2026-09-14

Category: cs.AI · 人工智能 · first seen 2026-09-14

Abstract

Enterprise Digital Twins (EDTs) promise data-driven decision support at organizational scale, but realizing them requires navigating siloed departments, tacit knowledge, and high-stakes decisions with long-horizon consequences. Existing approaches involve domain experts during model development but focus less on early organizational buy-in in EDTs. We present a vision for trustworthy EDT engineeri

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#89 most recent of 300 cs.AI papers we have recorded · ↑ newer: MAxBench: A Multinomial Concept Recovery Benchmark · ↓ older: Anchoring Clinical Events in Time: UID-Preserving Multimodal Reconstru

Cite this page: Involving before Evolving: A Vision for Trustworthy Enterprise Digital Twin Engineering: the #89 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/involving-before-evolving-a-vision-for-trustworthy-enterprise-digital-twin-engin.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json

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