Fake It to Make It

Big players in AI are developing synthetic data to fill in the gaps for traffic modeling, trend analysis, autonomous vehicles and more. Today, as Christopher Court-Dobson discovers, this tech is at the center of a growing debate: can we really trust artificially generated facts?

Publication Details

Journal
Traffic Technology International
Published
2025-03-01
DOI
https://doi.org/10.12968/s1356-9252(25)40005-7
Primary Topic
Big Data Technologies and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Fake It to Make It

Traffic Technology International
Big Data Technologies and Applications
article

Fake It to Make It

article en

Abstract

Big players in AI are developing synthetic data to fill in the gaps for traffic modeling, trend analysis, autonomous vehicles and more. Today, as Christopher Court-Dobson discovers, this tech is at the center of a growing debate: can we really trust artificially generated facts?

Traffic Technology InternationalVol. 2025(1)
Industry, innovation and infrastructure
Openalex Percentile: Top 26%
Big Data Technologies and Applications
DOISourceOpenAlex
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Fake It to Make It · Traffic Technology International (2025) | TGRS Research Map | TGRS