AI vocabulary · foster
Foster: the causation word with the cause deleted
Foster shows up on almost every 'AI words to avoid' list, usually with no explanation beyond 'AI overuses this'. That's true and also not the interesting part. The interesting part is what the word is doing structurally: claiming a cause while deleting it, which is exactly why it sits on our greylist instead of our blacklist.
AI reaches for foster when it wants credit for causing something without doing the work of explaining how. Fosters collaboration, fosters growth, fosters innovation: each claims a causal or nurturing effect while skipping the mechanism entirely. underslop's linter computes foster and reports it, and never subtracts a point for it, because the word is also the correct term for actual fostering, as in foster care and foster parents, and because a sparing causal use that states its mechanism in the same sentence is simply good writing.
What reaching for it signals
Foster is a causation word with the causation removed. 'The policy fosters collaboration' sounds like a causal claim, X produces Y, without committing to how strongly, how often, or by what mechanism. Compare it to a verb that actually names a process: 'the policy assigns overlapping deadlines, which forces two teams to talk' tells you what happens. 'The policy fosters collaboration' tells you the writer wants credit for an outcome they haven't shown. The model reaches for foster because it reads as soft and reasonable, a claim nobody argues with, while requiring zero evidence. It functions as a hedge disguised as a strong verb: strong enough to sound like an argument, vague enough that it can't be checked against anything.
Whether underslop counts it
underslop puts foster on the greylist: computed and reported on every run, never subtracted from the score. It stays off the blacklist for a reason tapestry doesn't share. Foster has a fully legitimate literal use, foster care, a foster parent, to foster a child, that the abstract causal use doesn't get in the way of, and a causal use that names its mechanism in the same sentence is genuinely fine writing, not a tell. Our own model-log search for the classic delve-tapestry-robust-foster cluster came back at zero hits, which says the word's reputation is running ahead of what current models actually write, one more reason a hard score would be the wrong call.
What to write instead
- fosters collaborationstate what specifically got people working together, e.g. 'the shared dashboard cut handoff emails from six a day to one'
- If you can't name the mechanism, the sentence is claiming an outcome you haven't shown.
- fosters innovationname the actual practice: more experiment budget, faster review cycles, fewer approval gates
- Innovation isn't a nutrient a policy releases into the air. Something specific changed, or nothing did.
- foster a sense of belonging, foster trustkeep it, but follow immediately with the concrete action
- 'The policy fosters trust by publishing every decision within 24 hours' names the mechanism in the same breath. That version survives review.
- foster care, foster parent, foster a childkeep it unchanged
- This is the word's actual job. The tell only applies to the abstract causal use, never the literal one.
Examples
Our new onboarding program isn't just training, it's a culture shift that fosters collaboration and empowers employees to embrace innovative, forward-thinking solutions.
The new onboarding program is less about training and more about changing how people work together. It pushes employees to take on new ideas and think ahead, and it's built to make collaboration the norm rather than the exception.
The honest truth is, leaders should foster an environment where employees feel empowered to leverage their unique skill sets, driving a more robust and innovative organization forward.
Leaders should create an environment where employees feel free to use their particular skills. That drives a stronger, more inventive organization.
Questions
Why does ChatGPT use foster so much?
Because it lets the model claim a causal or nurturing outcome, more collaboration, more innovation, more trust, without having to specify the mechanism that produces it. It reads as a strong, positive verb while requiring no evidence.
What words are overused in AI writing?
underslop tracks them in three tiers by evidence strength: words the linter actually scores, a wider greylist it computes but never counts (foster is here), and words that turn out to be nearly absent from current model output despite their reputation. The full breakdown is on the overused AI words page.
What words does ChatGPT overuse in essays?
In our own model logs the strongest signals weren't single vocabulary words at all, they were structural habits: validation openers, bullet-list scaffolding on emotional topics, and a hollow reframe that denies a plain reading to assert a grander one. Vocabulary words like foster get more attention because they're easy to spot, not because they're the biggest signal.
Is foster always an AI tell?
No. Foster care and foster parent are just correct usage. Even the abstract causal sense is fine when the sentence names the mechanism instead of asserting the outcome alone. The tell is the deleted cause, not the word.
underslop scores a small set of vocabulary tells and computes a larger greylist it deliberately does not count. Paste a draft to see which of the two your writing is tripping. The free tier caps at 500 words a run.