Improving the cross-cultural functioning of deep artificial neural networks through machine enculturation
Artificial intelligence applications are being rapidly deployed around the world, where they need to interact with humans exhibiting different sociocultural values and related behaviors. Through machine enculturation, computers are supposed to assimilate these values so that they can better relate t...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | International Journal of Information Management Data Insights |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667096822000611 |
| _version_ | 1811211337309618176 |
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| author | Wolfgang Messner |
| author_facet | Wolfgang Messner |
| author_sort | Wolfgang Messner |
| collection | DOAJ |
| description | Artificial intelligence applications are being rapidly deployed around the world, where they need to interact with humans exhibiting different sociocultural values and related behaviors. Through machine enculturation, computers are supposed to assimilate these values so that they can better relate to humans. But artificial intelligence research has not yet fully managed that challenge. This article uses a deep artificial neural network to mimic the functioning of the human emotional brain by relating value priorities, opinions, and other factors with subjective well-being. It highlights that a network's hyperparameters configured to successfully train and perform with data from one country may not necessarily train and perform well with data from another country. Advancing our understanding of machine enculturation, the analysis demonstrates that the network's performance can be improved by pooling data across countries and coding binary country placeholder variables into the input vector. |
| first_indexed | 2024-04-12T05:12:23Z |
| format | Article |
| id | doaj.art-245e9042f7b94dd1a979fea03e36af5b |
| institution | Directory Open Access Journal |
| issn | 2667-0968 |
| language | English |
| last_indexed | 2024-04-12T05:12:23Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Information Management Data Insights |
| spelling | doaj.art-245e9042f7b94dd1a979fea03e36af5b2022-12-22T03:46:44ZengElsevierInternational Journal of Information Management Data Insights2667-09682022-11-0122100118Improving the cross-cultural functioning of deep artificial neural networks through machine enculturationWolfgang MessnerArtificial intelligence applications are being rapidly deployed around the world, where they need to interact with humans exhibiting different sociocultural values and related behaviors. Through machine enculturation, computers are supposed to assimilate these values so that they can better relate to humans. But artificial intelligence research has not yet fully managed that challenge. This article uses a deep artificial neural network to mimic the functioning of the human emotional brain by relating value priorities, opinions, and other factors with subjective well-being. It highlights that a network's hyperparameters configured to successfully train and perform with data from one country may not necessarily train and perform well with data from another country. Advancing our understanding of machine enculturation, the analysis demonstrates that the network's performance can be improved by pooling data across countries and coding binary country placeholder variables into the input vector.http://www.sciencedirect.com/science/article/pii/S2667096822000611Artificial intelligence (AI)Artificial neural networksCultural differencesDeep learningMachine enculturationMachine learning |
| spellingShingle | Wolfgang Messner Improving the cross-cultural functioning of deep artificial neural networks through machine enculturation International Journal of Information Management Data Insights Artificial intelligence (AI) Artificial neural networks Cultural differences Deep learning Machine enculturation Machine learning |
| title | Improving the cross-cultural functioning of deep artificial neural networks through machine enculturation |
| title_full | Improving the cross-cultural functioning of deep artificial neural networks through machine enculturation |
| title_fullStr | Improving the cross-cultural functioning of deep artificial neural networks through machine enculturation |
| title_full_unstemmed | Improving the cross-cultural functioning of deep artificial neural networks through machine enculturation |
| title_short | Improving the cross-cultural functioning of deep artificial neural networks through machine enculturation |
| title_sort | improving the cross cultural functioning of deep artificial neural networks through machine enculturation |
| topic | Artificial intelligence (AI) Artificial neural networks Cultural differences Deep learning Machine enculturation Machine learning |
| url | http://www.sciencedirect.com/science/article/pii/S2667096822000611 |
| work_keys_str_mv | AT wolfgangmessner improvingthecrossculturalfunctioningofdeepartificialneuralnetworksthroughmachineenculturation |