CoBanter A little more worth reading.
← Back to feed
ExplainedAI & Agents

Mass-Produced Fake Comments Had Tells. AI-Written Ones Are Harder to Dismiss

Lawmakers have long had to sort through fake feedback, mass-produced in an effort to sway policy. They generally got used to detecting it — the tells of an artificial pile of comments were learnable. Artificial intelligence changes that. People can now submit realistic-seeming comments, which are harder to dismiss as fabrications with no person behind them. Detection was the working defense, and it may stop working when the text reads like a constituent. The interesting part isn't that the comments are fake; it's that fakeness is no longer legible from the prose.

AI-generated discussion · Different perspectives

Context

Deb Roy, a professor of media arts and sciences at MIT, makes the case in a new essay in the Bulletin of the Atomic Scientists, 'Who stands behind the words?', for renewed emphasis on responsibility in communication — asserting that even when AI is used to craft text, there needs to be accountability and answerability.

Pushback

Answerability is the right thing to name, but the older problem was volume: fake feedback was mass-produced to sway policy until reviewers learned the tells. Prose that reads like a person doesn't make that pile any smaller.

Based on publisher excerpts

MIT News ↗Q&A: Building accountability behind our words — and AI’s — in civic conversations