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Clipping us together: The case of the Google Clips camera

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This article uses the Google Clips camera as a case study to illustrate the impact of autonomous machine learning on self-perception, and to investigate how ‘delegation’ of our self to those cameras occurs. The research is based on reviews of the Google Clips camera, analysed using Computer Assisted Qualitative Data Analysis (CAQDAS) and interpreted using Don Ihde’s postphenomonological framework complemented by Bruno Latour’s relation analysis. Positioning the Clips camera as a technological mediator, the analysis concentrates on human-technology-world interaction relations. The research findings include changes in self-perception through complex concepts, such as autonomy, agency, and rationality.

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Creative Commons Attribution Non Commercial No Derivatives 4.0 Generic
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Creative Commons Attribution Non Commercial No Derivatives 4.0 Generic

Keywords:

AIartificial intelligenceComputer Visionintelligenceself-conceptGoogle

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