Comments Submitted by BlockScience, University of Washington APL Information Risk and Synthetic Intelligence Research Initiative (IRSIRI), Cognitive Security and Education Forum (COGSEC), and the Active Inference Institute (AII) to the Networking and

Digital Twins are useful enough to be dangerous. US Government Agency interest in funding and facilitating research, development, engineering, and implementation of Digital Twins (alongside factors related to their safe implementation) is therefore both reassuring and urgently necessary. Factors such as trustworthiness, reliability, interoperability, stability, sustainability, and responsible use must be addressed now, as there may not be another opportunity to do so before mass proliferation. If these factors can be adequately addressed, Digital Twins hold the potential to integrate physical and digital space – sparking a renaissance of capability exploration that will expand the horizons of research and commerce. If they are not, Digital Twins will inadvertently – but inevitably – become an evergreen source of threats and frustrations that will continue to challenge future generations. Here we argue that (i) conceptually, Digital Twins are not new – and thus we can learn from the common vulnerabilities, exploits, and remedies developed by prior approaches to closely-related problems in control theory and cybernetics, (ii) stable reference and data management capabilities and provisioning considerations are the underlying (but often-overlooked) prerequisites to building reliable Digital Twins, and (iii) the functional surface of a Digital Twin is roughly identical to its threat surface. We conclude with summary recommendations.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-08
DOI
https://doi.org/10.5281/zenodo.13273681
Primary Topic
Musicology and Musical Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Comments Submitted by BlockScience, University of Washington APL Information Risk and Synthetic Intelligence Research Initiative (IRSIRI), Cognitive Security and Education Forum (COGSEC), and the Active Inference Institute (AII) to the Networking and

Zenodo (CERN European Organization for Nuclear Research)
Musicology and Musical Analysis
article

Comments Submitted by BlockScience, University of Washington APL Information Risk and Synthetic Intelligence Research Initiative (IRSIRI), Cognitive Security and Education Forum (COGSEC), and the Active Inference Institute (AII) to the Networking and

article en

Abstract

Digital Twins are useful enough to be dangerous. US Government Agency interest in funding and facilitating research, development, engineering, and implementation of Digital Twins (alongside factors related to their safe implementation) is therefore both reassuring and urgently necessary. Factors such as trustworthiness, reliability, interoperability, stability, sustainability, and responsible use must be addressed now, as there may not be another opportunity to do so before mass proliferation. If these factors can be adequately addressed, Digital Twins hold the potential to integrate physical and digital space – sparking a renaissance of capability exploration that will expand the horizons of research and commerce. If they are not, Digital Twins will inadvertently – but inevitably – become an evergreen source of threats and frustrations that will continue to challenge future generations. Here we argue that (i) conceptually, Digital Twins are not new – and thus we can learn from the common vulnerabilities, exploits, and remedies developed by prior approaches to closely-related problems in control theory and cybernetics, (ii) stable reference and data management capabilities and provisioning considerations are the underlying (but often-overlooked) prerequisites to building reliable Digital Twins, and (iii) the functional surface of a Digital Twin is roughly identical to its threat surface. We conclude with summary recommendations.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 39%
Musicology and Musical Analysis
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Comments Submitted by BlockScience, University of Washington APL Information Risk and Synthetic Intelligence Research Initiative (IRSIRI), Cognitive Security and Education Forum (COGSEC), and the Active Inference Institute (AII) to the Networking and · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS