Empirical evidence suggests that earlier language models could also be useful for generating
content that is misleading, but persuasive.[51] For example, researchers found that GPT-3 was
capable of tasks relevant to changing the narrative on a topic.[52] Persuasive appeals written by
language models such as GPT-3 on politically charged issues were also found to be nearly as eﬀective
as human-written appeals.[53] Based on GPT-4’s performance at related language tasks, we expect
it to be better than GPT-3 at these sorts of tasks, which increases the risk that bad actors could
use GPT-4 to create misleading content and that society’s future epistemic views could be partially
shaped by persuasive LLMs.
gpt-4-system-card