Person
Aaron J. Snoswell
Cited in one post, Characterizing Manipulation from AI Systems, since September 2026
In their words
“For example, Snoswell and Burgess (2022) remark that LMs often seem authoritative even when the information they provide is wrong.”
· Characterizing Manipulation from AI Systems · machine-resolved
In the claim ledger
1 promoted claim about them. Assessments are the model’s knowledge, not verification.
LMs' authoritative tone despite error may be an artefact of labeller approval optimisation.
contested · Characterizing Manipulation from AI Systems