Moving from web-scraped AI training data to ethical data sharing
Published: 31/03/2026
| OECD
The Organisation for Economic Co-operation and Development (OECD) has published a blog article addressing the increasing AI data paradox, in which developers face a shortage of high-quality data despite an abundance of global digital information. The scarcity is further intensified by the fact that vast volumes of information remain underused within private databases.
A new report, produced under the VIADUCT initiative and in partnership with the Global Partnership on AI (GPAI), backs a transition from web scraping to ethical data sharing. Based on multistakeholder workshops and 25 interviews conducted in 2025, the analysis identifies concrete challenges faced by both data holders and developers. The report complements the earlier 2019 OECD recommendations by focusing on the implementation of actionable tools.
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