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We find that around 40 per cent of tasks performed by public-sector workers could be done by Al. However, relatively few of these tasks could be fully replaced by Al, meaning some worker involvement would still be necessary in almost all cases. Taking our estimated time savings from using these tools into account, our analysis suggests that 19.8 per cent of public- sector workers' time could be saved using Al tools.

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We find that around 40 per cent of tasks performed by public-sector workers could be done by Al. However, relatively few of these tasks could be fully replaced by Al, meaning some worker involvement would still be necessary in almost all cases. Taking our estimated time savings from using these tools into account, our analysis suggests that 19.8 per cent of public- sector workers' time could be saved using Al tools.
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Michael Veale (mikarv@someone.elses.computer)'s status on Tuesday, 09-Jul-2024 21:07:47 JST Michael Veale

The new Tony Blair Institute report on public sector automation savings classifies the potential to automate a task based on… how much GPT-4 classifies a task as automatable.
Is this the worst method ever? It’s absurd, unserious, and any outlet reporting on this uncritically should be humiliated and ridiculed. (seen via @halcyene)

In conversation about 5 months ago from someone.elses.computer permalink