Jag ställde tre frågor till publiken på Moderna museet i början av november. Fråga 1 handlade om hur mycket man kan lita på AI i arbetet.
Skälen varför kvalitetschefer bör ta täten i AI-utvecklingen
CHEFREDAKTÖRENS KRÖNIKA Den senaste tiden har vi på Kvalitetsmagasinet varit ute och träffat våra läsare på flera stora event. På Vårt nya arbetsliv fick jag tydliga bevis för att kvalitetskunskaperna kommer vara kritiska i verksamhetsutveckling med AI.

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Vilka risker finns det med att förlita sig för mycket på AI i arbetsprocesser?
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


