The AI note taker we use at work records the meeting as well, and each note it takes about the meeting has a timestamp link that takes you directly there in the recording so you can check it yourself. While I'm sure a solution like this is more complicated in a HIPPAA environment, something like this is critical for things as important as healthcare.

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TonyAlicea10 an hour ago | parent | next [-]

When designing AI-based user experiences I refer to this as provenance. It’s a vital aspect of trust, reliability, compliance and more. If a software system includes LLM output like this but doesn’t surface the provenance of its output for human evaluation and verification then it’s at best poor user experience, and at worst a dangerous one.

	▲	autoexec 31 minutes ago \| parent [-]
		At the same time, do you really want every conversation you have with your doctor recorded, handed over to third party companies, and stored forever with your medical file? Plus what doctor has time to sit down and re-listen to your visit to check to make sure the AI didn't screw up at some point in the future anyway? If your doctor isn't going to be verifying the accuracy from those recordings who would? Overseas contractors? At what point does it become a larger waste of time and money to babysit an incompetent AI than just not using one in the first place? There are some good uses for AI, but I'm not convinced that this (or may other cases where accuracy matters) is one of them.

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2 hours ago | parent | prev [-]

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	▲	lostmsu 2 hours ago \| parent [-]
		You can check the summary immediately after the meeting, that gives some extra confidence that the notes were recognized correctly.