Errant Intelligence
Artificial intelligence is often framed as a quest to replicate the human brain, promising frictionless cognition and a future of seamless automation. But what if this pervasive narrative obscures a deeper, more “errant” truth? Errant Intelligence challenges the prevailing biological and individuali...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Online |
| 语言: | 英语 |
| 出版: |
Taylor & Francis
2026
|
| 主题: | |
| 在线阅读: | ONIX_20260529T115621_9781040838440_9 |
| 标签: |
没有标签, 成为第一个标记此记录!
|
| _version_ | 1869523806810275840 |
|---|---|
| author | Apprich, Clemens |
| author_browse | Apprich, Clemens |
| author_facet | Apprich, Clemens |
| author_sort | Apprich, Clemens |
| collection | Directory of Open Access Books |
| description | Artificial intelligence is often framed as a quest to replicate the human brain, promising frictionless cognition and a future of seamless automation. But what if this pervasive narrative obscures a deeper, more “errant” truth? Errant Intelligence challenges the prevailing biological and individualistic interpretations of machine learning, arguing instead for a radical understanding of machine intelligence. The book embraces the deviations, inconsistencies, and “errant behaviour” as fundamental to the discovery of new knowledge, moving beyond the illusion of mere optimisation. Drawing on media theory, cybernetics, and a unique psychoanalytic lens, it explores the “technological unconscious” of machine learning. It traces the historical roots of AI, from early automatons and the Turing machine to natural language processing and contemporary machine learning systems. Challenging the idea of an autonomous, self-generating AI, the book exposes the hidden labour, assumed logics, and inherent biases that animate its operation. It re-evaluates computational thinking, insisting on its inherently social, collective, and symbolic character, and revealing how language and logical paradoxes are not obstacles but constitutive forces that shape intelligent machines. Errant Intelligence offers a vital new framework for understanding the profound co-evolution of human and machine learning. It’s time to “unlearn” our assumptions and embrace the productive ambiguity and fallibility at the core of machine intelligence. |
| format | Online |
| id | doab-20.500.12854ir-177030 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1770302026-06-04T06:09:43Z Errant Intelligence Apprich, Clemens Media archaeology Technological unconscious Cybernetic systems Computational epistemology Algorithmic bias Psychoanalytic theory technology Social dimensions of artificial intelligence thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCT Media studies thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning Artificial intelligence is often framed as a quest to replicate the human brain, promising frictionless cognition and a future of seamless automation. But what if this pervasive narrative obscures a deeper, more “errant” truth? Errant Intelligence challenges the prevailing biological and individualistic interpretations of machine learning, arguing instead for a radical understanding of machine intelligence. The book embraces the deviations, inconsistencies, and “errant behaviour” as fundamental to the discovery of new knowledge, moving beyond the illusion of mere optimisation. Drawing on media theory, cybernetics, and a unique psychoanalytic lens, it explores the “technological unconscious” of machine learning. It traces the historical roots of AI, from early automatons and the Turing machine to natural language processing and contemporary machine learning systems. Challenging the idea of an autonomous, self-generating AI, the book exposes the hidden labour, assumed logics, and inherent biases that animate its operation. It re-evaluates computational thinking, insisting on its inherently social, collective, and symbolic character, and revealing how language and logical paradoxes are not obstacles but constitutive forces that shape intelligent machines. Errant Intelligence offers a vital new framework for understanding the profound co-evolution of human and machine learning. It’s time to “unlearn” our assumptions and embrace the productive ambiguity and fallibility at the core of machine intelligence. 2026-05-30T05:14:15Z 2026-05-30T05:14:15Z 2026-05-29T11:30:48Z 2026 book ONIX_20260529T115621_9781040838440_9 https://library.oapen.org/handle/20.500.12657/113838 9781040838440 9781040835586 9781003690146 https://directory.doabooks.org/handle/20.500.12854/177030 eng Recursions open access image/jpeg image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International Attribution-NonCommercial-NoDerivatives 4.0 International https://library.oapen.org/bitstream/20.500.12657/113838/1/9781040838440.pdf https://library.oapen.org/bitstream/20.500.12657/113838/1/9781040838440.pdf Taylor & Francis Routledge 10.4324/9781003690146 10.4324/9781003690146 fa69b019-f4ee-4979-8d42-c6b6c476b5f0 University of Applied Arts Vienna c4a1786f-025c-4334-afc1-73b06d927d4a 9781040838440 9781040835586 9781003690146 Routledge 168 Oxford [...] open access |
| spellingShingle | Media archaeology Technological unconscious Cybernetic systems Computational epistemology Algorithmic bias Psychoanalytic theory technology Social dimensions of artificial intelligence thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCT Media studies thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning Apprich, Clemens Errant Intelligence |
| title | Errant Intelligence |
| title_full | Errant Intelligence |
| title_fullStr | Errant Intelligence |
| title_full_unstemmed | Errant Intelligence |
| title_short | Errant Intelligence |
| title_sort | errant intelligence |
| topic | Media archaeology Technological unconscious Cybernetic systems Computational epistemology Algorithmic bias Psychoanalytic theory technology Social dimensions of artificial intelligence thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCT Media studies thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning |
| topic_facet | Media archaeology Technological unconscious Cybernetic systems Computational epistemology Algorithmic bias Psychoanalytic theory technology Social dimensions of artificial intelligence thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCT Media studies thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQL Natural language and machine translation thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning |
| url | ONIX_20260529T115621_9781040838440_9 |
| work_keys_str_mv | AT apprichclemens errantintelligence |