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      The Nooscope manifested: AI as instrument of knowledge extractivism

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          Abstract

          Some enlightenment regarding the project to mechanise reason. The assembly line of machine learning: data, algorithm, model. The training dataset: the social origins of machine intelligence. The history of AI as the automation of perception. The learning algorithm: compressing the world into a statistical model. All models are wrong, but some are useful. World to vector: the society of classification and prediction bots. Faults of a statistical instrument: the undetection of the new. Adversarial intelligence vs. statistical intelligence: labour in the age of AI.

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          Most cited references31

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          ImageNet classification with deep convolutional neural networks

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            How we know universals; the perception of auditory and visual forms.

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              Could Big Data be the end of theory in science? A few remarks on the epistemology of data-driven science.

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                Author and article information

                Contributors
                mpasquinelli@hfg-karlsruhe.de
                Journal
                AI Soc
                AI Soc
                Ai & Society
                Springer London (London )
                0951-5666
                1435-5655
                21 November 2020
                21 November 2020
                : 1-18
                Affiliations
                [1 ]GRID grid.448697.0, ISNI 0000 0000 8636 9001, Media Philosophy Department, , Karlsruhe University of Arts and Design, ; Karlsruhe, Germany
                [2 ]GRID grid.10822.39, ISNI 0000 0001 2149 743X, New Media Department, Academy of Arts, , University of Novi Sad, ; Novi Sad, Serbia
                Article
                1097
                10.1007/s00146-020-01097-6
                7680082
                33250587
                eb7819be-e12c-463d-b89b-83a28f67be8a
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 March 2020
                : 14 October 2020
                Funding
                Funded by: Staatliche Hochschule für Gestaltung Karlsruhe (5131)
                Categories
                Original Article

                nooscope,political economy,mechanised knowledge,information compression,ethical machine learning

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