Intuition Machines
The urgency of environmental, security, economic and political crises in the early twenty-first century has propelled the use of machine vision to aid human decision-making. These developments have led to strategies in which functions of human intuitive processing have been externalized to ‘v...
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| Format: | Article |
| Language: | English |
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Digital Aesthetics Research Cener
2020-08-01
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| Series: | A Peer-Reviewed Journal About |
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| Online Access: | https://aprja.net//article/view/121489 |
| _version_ | 1797666437640224768 |
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| author | Linda Kronman |
| author_facet | Linda Kronman |
| author_sort | Linda Kronman |
| collection | DOAJ |
| description |
The urgency of environmental, security, economic and political crises in the early twenty-first century has propelled the use of machine vision to aid human decision-making. These developments have led to strategies in which functions of human intuitive processing have been externalized to ‘vision machines’ in the hope of optimized and objective insights. I argue that we should approach these replacements of human nonconscious functions as ‘intuition machines.’ I apply this approach through a close reading of artworks which expose the hid- den labour required to train a machine. These artworks demonstrate how human agency shapes the ways that machines perceive the world and reveal how values and biases are hardcoded into nonconscious cognitive machine vision systems. Thus, my analysis suggests that decisions made by such systems cannot be considered fundamentally objective or true. Nevertheless, artworks also exemplify how externalized intuitive processing can still be helpful as long as we refrain from blindly taking the results as a go-signal to take immediate action.
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| first_indexed | 2024-03-11T19:58:28Z |
| format | Article |
| id | doaj.art-5b0ffa70e8b34a6894876d2cbff49706 |
| institution | Directory Open Access Journal |
| issn | 2245-7755 |
| language | English |
| last_indexed | 2024-03-11T19:58:28Z |
| publishDate | 2020-08-01 |
| publisher | Digital Aesthetics Research Cener |
| record_format | Article |
| series | A Peer-Reviewed Journal About |
| spelling | doaj.art-5b0ffa70e8b34a6894876d2cbff497062023-10-04T12:47:41ZengDigital Aesthetics Research CenerA Peer-Reviewed Journal About2245-77552020-08-019110.7146/aprja.v9i1.121489Intuition MachinesLinda Kronman The urgency of environmental, security, economic and political crises in the early twenty-first century has propelled the use of machine vision to aid human decision-making. These developments have led to strategies in which functions of human intuitive processing have been externalized to ‘vision machines’ in the hope of optimized and objective insights. I argue that we should approach these replacements of human nonconscious functions as ‘intuition machines.’ I apply this approach through a close reading of artworks which expose the hid- den labour required to train a machine. These artworks demonstrate how human agency shapes the ways that machines perceive the world and reveal how values and biases are hardcoded into nonconscious cognitive machine vision systems. Thus, my analysis suggests that decisions made by such systems cannot be considered fundamentally objective or true. Nevertheless, artworks also exemplify how externalized intuitive processing can still be helpful as long as we refrain from blindly taking the results as a go-signal to take immediate action. https://aprja.net//article/view/121489machine visionmachine learningnonconscious cognitiondatasets |
| spellingShingle | Linda Kronman Intuition Machines A Peer-Reviewed Journal About machine vision machine learning nonconscious cognition datasets |
| title | Intuition Machines |
| title_full | Intuition Machines |
| title_fullStr | Intuition Machines |
| title_full_unstemmed | Intuition Machines |
| title_short | Intuition Machines |
| title_sort | intuition machines |
| topic | machine vision machine learning nonconscious cognition datasets |
| url | https://aprja.net//article/view/121489 |
| work_keys_str_mv | AT lindakronman intuitionmachines |