My partner is an archivist, they attend these sorts of conferences, and we've talked about this frequently. Archivists are at best apprehensive about AI, especially shoddily implemented versions like will almost certainly be the case here.
Accuracy is everything, and the way information in the archive is presented to visitors/researchers is paramount. Anything that moves that discussion around that presentation away from human beings into the realm of artificially generated pablum is going to be met with resistance.
Think of it like how /r/askhistorians on Reddit would rather let a question go unanswered for hours so a professional can provide a proper, sourced answer, than let some random user chime in with anything. That's putting an emphasis on accuracy and providing a completeness, rather than a rapid one.
>At the current rate, it will take until 2046 to completely transcribe this series with just humans!,” Lagundo’s presentation says. She said that an AI transcript of the dataset was 90 percent correct and that it intends to share these transcripts with the public in its official catalog in November or December.
What's the rush? Why would we settle on 90% accuracy today when we could do it right and get 100%? It's not like this is mission critical information. It's an archive. Take the time and do it right.
Moreover, why is this so important that we need to burn the energy from AI to do it?
> What's the rush? Why would we settle on 90% accuracy today when we could do it right and get 100%? It's not like this is mission critical information. It's an archive. Take the time and do it right.
Because someone will get a promotion for leading an "initiative".
Accuracy is everything, and the way information in the archive is presented to visitors/researchers is paramount. Anything that moves that discussion around that presentation away from human beings into the realm of artificially generated pablum is going to be met with resistance.
Think of it like how /r/askhistorians on Reddit would rather let a question go unanswered for hours so a professional can provide a proper, sourced answer, than let some random user chime in with anything. That's putting an emphasis on accuracy and providing a completeness, rather than a rapid one.
>At the current rate, it will take until 2046 to completely transcribe this series with just humans!,” Lagundo’s presentation says. She said that an AI transcript of the dataset was 90 percent correct and that it intends to share these transcripts with the public in its official catalog in November or December.
What's the rush? Why would we settle on 90% accuracy today when we could do it right and get 100%? It's not like this is mission critical information. It's an archive. Take the time and do it right.
Moreover, why is this so important that we need to burn the energy from AI to do it?