Conversely, they welcomed automation that would free up time for higher-value work (69.4%), reduce task repetitiveness (46.6%), and improve the quality of their work (46.6%). Specifically, they welcomed automation that might include scheduling client appointments, maintaining files of information, or rectifying errors in records.
The study also explored preferences regarding the level of AI involvement. Most respondents favored a collaborative approach, with 45.2% desiring an equal partnership between workers and AI and 35.6% seeking human oversight at critical junctures. This indicates a clear resistance to fully automated systems, the scholars noted.
Nothing.