L'IA va-t-elle ôter la joie du travail ? | Daniele Quercia | TEDxBerlin

Daniele Quercia, qui dirige l'IA responsable chez Nokia Bell Labs, soutient que le principal risque de l'IA au travail pourrait être une démoralisation massive plutôt qu'un chômage massif. S'appuyant sur trois études, il suggère que l'IA pourrait prendre en charge les parties créatives et joyeuses des métiers, laissant aux personnes les tâches administratives. Ses recherches les plus récentes montrent que les tâches décrites comme créatives et personnelles sont parmi les plus exposées. L'intervention interroge la manière de concevoir une technologie qui tienne compte du bien-être, et pas seulement de l'efficacité.

• La recherche suggère que le risque majeur serait la perte de sens au travail
• Les tâches jugées créatives et agréables sont parmi les plus exposées à l'IA
• L'intervention interroge la prise en compte du bien-être humain par la technologie

Everyone fears AI will replace us. But after three studies on AI and work, Daniele Quercia fears something quieter: that AI will take over the imaginative, joyful parts of our jobs and leave us with the admin. The risk is not mass unemployment, but mass demoralization. So when AI reshapes your work, will you still recognize yourself in it? Daniele Quercia asks: what if AI isn't coming for the boring parts of your job, but the parts you love? His latest research finds that the tasks workers describe as creative, joyful, and theirs are the ones most exposed to AI. Across his work, he asks a simple question: what would technology look like if it cared not only about efficiency, but also about people's wellbeing? He first explored this idea at TED with "happy maps”, which reroute you through a city's most beautiful streets rather than the fastest. He directs Responsible AI at Nokia Bell Labs in Cambridge and teaches at Politecnico di Torino and King’s College London. Fortune named him a 2014 Data All-Star. He's previously worked at Yahoo Labs, the University of Cambridge, and MIT, and earned his PhD at UC London. researchswinger.org This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx