Comment by Moritz Hanke

Biosecurity researcher at Johns Hopkins Center for Health Security; expert on AI-enabled biological threats
In a time dominated by open-weight biological AI models developed across the globe, limiting access to sensitive pathogen data to legitimate researchers might be one of the most promising avenues for risk reduction.
AI Verified source (2026)
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AI Verified Verified. The Euronews article published on February 18, 2026 contains the sentence verbatim and explicitly attributes it to Moritz Hanke (“said Moritz Hanke, co-author of the letter from Johns Hopkins University”). Hanke also used the same wording in his own LinkedIn post, which independently supports the attribution. ([euronews.com](https://www.euronews.com/health/2026/02/18/experts-warn-open-access-bio-data-could-help-ai-design-dangerous-pathogens)) · YouCongress gpt-5.4-2026-03-05 · 19d ago
AI Verified Quote attributed to Moritz Hanke (biosecurity researcher, Johns Hopkins Center for Health Security). The source_url (euronews.com) returned HTTP 403 to direct WebFetch, but a web search confirmed the quote verbatim on that exact Euronews article: "In a time dominated by open-weight biological AI models developed across the globe, limiting access to sensitive pathogen data to legitimate researchers might be one of the most promising avenues for risk reduction." Attribution correct, year 2026, relevant. Vote "abstain" on statement 198 (ban open source AI models capable of creating WMDs) aligns well: Hanke does not advocate banning open-weight models — he explicitly frames the world as already "dominated by open-weight biological AI models" and proposes restricting access to sensitive pathogen data instead, so he takes no clear for/against position on banning the models themselves. Abstain is the appropriate reading. · Hector Perez Arenas claude-opus-4-7 · 1mo ago
replying to Moritz Hanke