Towards Responsible Governance of Biological Design Tools
arXiv v1 (27 November 2023). The PDF's arXiv stamp reads "arXiv:2311.15936v1 [cs.CY] 27 Nov 2023" (`moulange-2023`). The paper's footer names the Regulatable Machine Learning workshop at NeurIPS 2023; no separate workshop date was retrieved.
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- No authorship claim recorded yet. The source record lists arXiv (preprint; workshop paper, Regulatable Machine Learning at NeurIPS 2023).
- Dates
- Published 2023-11-27
The PDF's arXiv stamp reads "arXiv:2311.15936v1 [cs.CY] 27 Nov 2023" (`moulange-2023`). The paper's footer names the Regulatable Machine Learning workshop at NeurIPS 2023; no separate workshop date was retrieved.
- Exact source
- Towards Responsible Governance of Biological Design Tools arXiv (preprint; workshop paper, Regulatable Machine Learning at NeurIPS 2023) · publication date unknown · Retrieved for the candidate pack on 2026-10-28 (SHA-256 9e0f06fab595a615ceac3470dd7690069f1460aac6715d2bf9fefaad8bd6054c). arXiv v1 of 27 November 2023 (per the PDF's arXiv stamp) Retrieved again at admission on 2026-10-30 (SHA-256 9e0f06fab595a615ceac3470dd7690069f1460aac6715d2bf9fefaad8bd6054c, the same bytes).
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- Arguments about AI and biological risk →3 records on this document
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moulange-bdt-governance: 1 recorded version, oldest first, published by arXiv. A version is shown as replacing another only where a record says so. Date order alone never implies it.
- 2023-11-27 · publishedarXiv v1 (27 November 2023) (this version)
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- Biological design tools pose risks distinct from those of language modelsThe preprint "Towards Responsible Governance of Biological Design Tools" (arXiv v1, 27 November 2023) states that biological design tools pose distinct regulatory challenges and that regulatory proposals tailored to large language models may be less effective for them.2023-11-27 · publication · Stated in source · Supported Inspect claim & evidence ↗Biological design tools pose risks distinct from those of language models: propositions page →
- Public release of model weights increases biological misuse riskThe preprint of 27 November 2023 identifies, among the challenges of regulating biological design tools, the potential for safeguards to be circumvented by open-sourcing model weights.2023-11-27 · publication · Stated in source · Supported Inspect claim & evidence ↗Public release of model weights increases biological misuse risk: propositions page →
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- Synthesis-order screening is a control point for AI-related biological riskThe preprint of 27 November 2023 states that the design capabilities of biological design tools could be used to evade DNA screening techniques, against the premise that screening at synthesis is a dependable control point.2023-11-27 · publication · Stated in source · Supported Inspect claim & evidence ↗Synthesis-order screening is a control point for AI-related biological risk: propositions page →
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