Machine vs. human, who makes a better judgment on innovation? Take GPT-4 for example
IntroductionHuman decision-making is a complex process that is often influenced by various external and internal factors. One such factor is noise, random, and irrelevant influences that can skew outcomes.MethodsThis essay uses the CAT test and computer simulations to measure creativity.ResultsEvide...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-08-01
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| Series: | Frontiers in Artificial Intelligence |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2023.1206516/full |
| _version_ | 1797738277920309248 |
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| author | Mark Du |
| author_facet | Mark Du |
| author_sort | Mark Du |
| collection | DOAJ |
| description | IntroductionHuman decision-making is a complex process that is often influenced by various external and internal factors. One such factor is noise, random, and irrelevant influences that can skew outcomes.MethodsThis essay uses the CAT test and computer simulations to measure creativity.ResultsEvidence indicates that humans are intrinsically prone to noise, leading to inconsistent and, at times, inaccurate decisions. In contrast, simple rules demonstrate a higher level of accuracy and consistency, while artificial intelligence demonstrates an even higher capability to process vast data and employ logical algorithms.DiscussionThe potential of AI, particularly its intuitive capabilities, might be surpassing human intuition in specific decision-making scenarios. This raises crucial questions about the future roles of humans and machines in decision-making spheres, especially in domains where precision is paramount. |
| first_indexed | 2024-03-12T13:41:30Z |
| format | Article |
| id | doaj.art-b53b45ef96734b84b8d9a6d0c1eb6355 |
| institution | Directory Open Access Journal |
| issn | 2624-8212 |
| language | English |
| last_indexed | 2024-03-12T13:41:30Z |
| publishDate | 2023-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Artificial Intelligence |
| spelling | doaj.art-b53b45ef96734b84b8d9a6d0c1eb63552023-08-23T18:04:57ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122023-08-01610.3389/frai.2023.12065161206516Machine vs. human, who makes a better judgment on innovation? Take GPT-4 for exampleMark DuIntroductionHuman decision-making is a complex process that is often influenced by various external and internal factors. One such factor is noise, random, and irrelevant influences that can skew outcomes.MethodsThis essay uses the CAT test and computer simulations to measure creativity.ResultsEvidence indicates that humans are intrinsically prone to noise, leading to inconsistent and, at times, inaccurate decisions. In contrast, simple rules demonstrate a higher level of accuracy and consistency, while artificial intelligence demonstrates an even higher capability to process vast data and employ logical algorithms.DiscussionThe potential of AI, particularly its intuitive capabilities, might be surpassing human intuition in specific decision-making scenarios. This raises crucial questions about the future roles of humans and machines in decision-making spheres, especially in domains where precision is paramount.https://www.frontiersin.org/articles/10.3389/frai.2023.1206516/fullnoisecreativityartificial intelligencelarge language models (LLM)GPT-4 |
| spellingShingle | Mark Du Machine vs. human, who makes a better judgment on innovation? Take GPT-4 for example Frontiers in Artificial Intelligence noise creativity artificial intelligence large language models (LLM) GPT-4 |
| title | Machine vs. human, who makes a better judgment on innovation? Take GPT-4 for example |
| title_full | Machine vs. human, who makes a better judgment on innovation? Take GPT-4 for example |
| title_fullStr | Machine vs. human, who makes a better judgment on innovation? Take GPT-4 for example |
| title_full_unstemmed | Machine vs. human, who makes a better judgment on innovation? Take GPT-4 for example |
| title_short | Machine vs. human, who makes a better judgment on innovation? Take GPT-4 for example |
| title_sort | machine vs human who makes a better judgment on innovation take gpt 4 for example |
| topic | noise creativity artificial intelligence large language models (LLM) GPT-4 |
| url | https://www.frontiersin.org/articles/10.3389/frai.2023.1206516/full |
| work_keys_str_mv | AT markdu machinevshumanwhomakesabetterjudgmentoninnovationtakegpt4forexample |