AI could pose pandemic-scale biosecurity risks. Here's how to make it safer
成果类型：
Editorial Material
署名作者：
Pannu, Jaspreet; Gebauer, Sarah; McKelvey Jr, Greg; Cicero, Anita; Inglesby, Tom
署名单位：
Johns Hopkins University; Johns Hopkins Bloomberg School of Public Health; Stanford University; RAND Corporation; Rand Health; RAND Corporation; RAND Corporation; Johns Hopkins University; Johns Hopkins University; Johns Hopkins Bloomberg School of Public Health
刊物名称：
Nature
ISSN/ISSBN：
0028-6662
DOI：
10.1038/d41586-024-03815-2
发表日期：
2024-11-28
页码：
808-811
关键词：
摘要：
AI-enabled research might cause immense harm if it is used to design pathogens with worrying new properties. To prevent this, we need better collaboration between governments, AI developers and experts in biosafety and biosecurity.