"Why open-source generative AI models are an ethical way forward for science" according to Arthur Spirling, professor of politics and data science at New York University.
"Using open-source large language models (LLMs) is essential for reproducibility. Proprietors of closed LLMs can alter their product or its training data -- which can change its outputs -- at any time."
"With open-source LLMs, researchers can look at the guts of the model to see how it works, customize its code and flag errors. These details include the model's tunable parameters and the data on which it was trained. Engagement and policing by the community help to make such models robust in the long term."
"The use of proprietary LLMs in scientific studies also has troubling implications for research ethics. The texts used to train these models are unknown."
Why open-source generative AI models are an ethical way forward for science#
solidstatelife #
ai #
aiethics
