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Data Workers Podcast: Difference between revisions

From Algolit

(Created page with "While studying manuals and learning about machine learning, we, members of Algolit, became fascinated with the anthropological legacies of this field. We came across a lot of...")
 
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While studying manuals and learning about machine learning, we, members of Algolit, became fascinated with the anthropological legacies of this field. We came across a lot of funny, sad, shocking, interesting stories that contextualize the tools and practises of the machine learning field for language comprehension. Part of the stories are experiential learning cases, as the implementations of AI in society generate new conditions of labour, storage, exchange, copy and paste. A lot of new stories that is. These are also the kind of stories that we tell each other during our monthly meetings. With this series we propose to share some of that atmosphere.
 
While studying manuals and learning about machine learning, we, members of Algolit, became fascinated with the anthropological legacies of this field. We came across a lot of funny, sad, shocking, interesting stories that contextualize the tools and practises of the machine learning field for language comprehension. Part of the stories are experiential learning cases, as the implementations of AI in society generate new conditions of labour, storage, exchange, copy and paste. A lot of new stories that is. These are also the kind of stories that we tell each other during our monthly meetings. With this series we propose to share some of that atmosphere.
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[[Category:Data_Workers]][[Category:Data_Workers_EN]]

Revision as of 13:49, 28 February 2019

While studying manuals and learning about machine learning, we, members of Algolit, became fascinated with the anthropological legacies of this field. We came across a lot of funny, sad, shocking, interesting stories that contextualize the tools and practises of the machine learning field for language comprehension. Part of the stories are experiential learning cases, as the implementations of AI in society generate new conditions of labour, storage, exchange, copy and paste. A lot of new stories that is. These are also the kind of stories that we tell each other during our monthly meetings. With this series we propose to share some of that atmosphere.