Shobita Parthasarathy claims that LLMs could support to advance investigation, but their use need to be regulated.
Equipment-studying algorithms that generate fluent language from large quantities of text could change how science is finished — but not always for the much better, suggests Shobita Parthasarathy, a specialist in the governance of rising systems at the University of Michigan in Ann Arbor.
In a report revealed on 27 April, Parthasarathy and other researchers test to foresee societal impacts of emerging artificial-intelligence (AI) technologies named massive language products (LLMs). These can churn out astonishingly convincing prose, translate in between languages, solution
