University of Edinburgh white paper warns AI crawlers threaten cultural heritage institutions
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The University of Edinburgh Ekip project research team has released the Re:Commons white paper, warning that bot traffic from AI companies scraping training data has surged since 2022, putting pressure on the digital infrastructure of cultural heritage institutions comparable to cyberattacks. Based on 115 cultural heritage stakeholders, the research points out that institutions have thus borne server and cloud hosting costs and had staff time encroached upon, with some institutions forced to deploy defensive measures such as firewalls and IP bans. The white paper recommends developing machine-readable rights reservation standards, mandating bot identification, and establishing compensation mechanisms to pay for infrastructure.
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- Hacker News AIMuseums sector warned of 'acute threat' posed by AI scraping bots
A new white paper based on 2026 University of Edinburgh research for the Ekip project warns that AI scraping bots impose substantial and unsustainable costs on cultural heritage institutions, straining digital infrastructure, engineering and cloud hosting budgets, and staff time. The report, Re:Commons: Renewing the Digital Commons for Cultural Heritage, says current policy debates dominated by copyright and licensing risk overlooking the infrastructural dimensions of the crisis, and recommends machine-readable rights-reservation standards, bot identification and transparency, compensation for infrastructure, and investment in shared public digital infrastructure.
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