What to check in AI meeting notes before you share them
Read AI notes first. They read smoothly, and that's the problem: a wrong name looks as confident as a right one. The checks below take a few minutes and go in order of how much damage a mistake does.
Why errors happen
Each stage in the tool can introduce a mistake. Voices differ in accent, pronunciation, pitch, volume and pace. Noise, echo and the recording set-up add distortion on top1. Give extra attention to surnames, company names, product codes and anything said quickly.
The summary then builds on whatever the transcript said. The software can't tell a word was misheard. It just carries on.
The checks
- Names and roles. Compare every name with the attendee list. Look for two people merged into one speaker, or one person split into two. Check that a name isn't swapped for a similar-sounding one.
- Numbers and dates. Every figure, price, quantity and deadline should be checked against your own memory, a calendar or the document discussed. Pairs like "fifteen" and "fifty" sound alike on a poor line.
- Decisions. Ask of each decision: did we actually agree this, or only discuss it? Some tools label outcomes. Google Meet's notes can mark a decision as Aligned, Needs Further Discussions, Disagreed or Shelved2. A label is a guess until you've confirmed it.
- What's missing. Skim your own memory of the meeting. Was there a worry raised, a risk, an objection, a promise? A summary only lists what the software picked out. If it's absent, add it.
- Who it's attributed to. A statement placed under the wrong person can cause real friction. Check any opinion or commitment against the speaker.
- Language switches. If people speak another language for part of the call, the notes may drift. Google's tool shows a notification if a different language is spoken for at least 30 seconds2. That tells you it noticed. It doesn't tell you the notes are right.
- Things that shouldn't leave the room. Remove side chat, personal remarks and anything said before or after the formal meeting.
Fix the notes, not only the summary
If you find a mistake, fix it in the notes people will actually read. Then, if you keep the transcript, think about whether it needs a note beside it saying where the summary differs. Otherwise two versions of the same meeting will exist.
Wikipedia describes a human post-processing software output, in the same way one edits the output of automatic translation3. That's the model: software drafts, a person signs off.
Accuracy isn't only a quality matter
In Australia, the privacy regulator (the OAIC) refers to a duty of reasonable steps toward accuracy of the personal information an organisation handles4. If your business is covered by the Privacy Act, wrong personal details in shared notes are more than an embarrassment. Check your own position with the OAIC. This is not legal advice, and the position in other countries differs.
Before you send
Decide who gets the notes. A client or supplier needs a different version from your own team. Take out internal remarks, pricing talk and anything unconfirmed.
To turn confirmed decisions into tasks, use the guide to action lists and owners. To see how errors creep in stage by stage, read how the tools work.
Cited material
- Speech recognition, Wikipedia
- "Take notes for me" in Google Meet, Google Meet Help
- Automatic summarization, Wikipedia
- Guidance on privacy and the use of commercially available AI products, Office of the Australian Information Commissioner