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Found 4 papers, 1 papers with code
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
To measure these risks of malicious use, government institutions and major AI labs are developing evaluations for hazardous capabilities in LLMs.
Will releasing the weights of future large language models grant widespread access to pandemic agents?
Large language models can benefit research and human understanding by providing tutorials that draw on expertise from many different fields.
Can large language models democratize access to dual-use biotechnology?
Large language models (LLMs) such as those embedded in 'chatbots' are accelerating and democratizing research by providing comprehensible information and expertise from many different fields.
Analysis of the first Genetic Engineering Attribution Challenge
The ability to identify the designer of engineered biological sequences -- termed genetic engineering attribution (GEA) -- would help ensure due credit for biotechnological innovation, while holding designers accountable to the communities they affect.
