{"title":"Toward bridging the gap between machine intelligence and machine wisdom: Dilemmas and conjectures.","authors":"Rui Wang, Shixuan Liu, Changjun Fan, Guozheng Li, Jincai Huang, Zhong Liu, Gang Zhou","doi":"10.1016/j.xinn.2025.100834","DOIUrl":null,"url":null,"abstract":"<p><p>In recent years, artificial intelligence (AI) has achieved tremendous development, akin to a significant leap, similar to progressing from 1 to 100. However, a significant gap still exists between current machine intelligence and human wisdom: machine intelligence is constrained to post hoc inference based on existing data, lacking the ability for genuine exploratory innovation and possessing no prospective reasoning inherent to human wisdom. Drawing inspiration from human wisdom, this article presents conjectures for overcoming the four dilemmas faced by machine intelligence: neglect of silicon-based cognition, lack of artistry, pitfall of perfectionism, and obsession with uniformity. These conjectures aim to propel machine intelligence toward machine wisdom, achieving a great leap from 1 to i.</p>","PeriodicalId":36121,"journal":{"name":"The Innovation","volume":"6 7","pages":"100834"},"PeriodicalIF":25.7000,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12277733/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Innovation","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1016/j.xinn.2025.100834","RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/7/7 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
In recent years, artificial intelligence (AI) has achieved tremendous development, akin to a significant leap, similar to progressing from 1 to 100. However, a significant gap still exists between current machine intelligence and human wisdom: machine intelligence is constrained to post hoc inference based on existing data, lacking the ability for genuine exploratory innovation and possessing no prospective reasoning inherent to human wisdom. Drawing inspiration from human wisdom, this article presents conjectures for overcoming the four dilemmas faced by machine intelligence: neglect of silicon-based cognition, lack of artistry, pitfall of perfectionism, and obsession with uniformity. These conjectures aim to propel machine intelligence toward machine wisdom, achieving a great leap from 1 to i.
期刊介绍：
The Innovation is an interdisciplinary journal that aims to promote scientific application. It publishes cutting-edge research and high-quality reviews in various scientific disciplines, including physics, chemistry, materials, nanotechnology, biology, translational medicine, geoscience, and engineering. The journal adheres to the peer review and publishing standards of Cell Press journals.
The Innovation is committed to serving scientists and the public. It aims to publish significant advances promptly and provides a transparent exchange platform. The journal also strives to efficiently promote the translation from scientific discovery to technological achievements and rapidly disseminate scientific findings worldwide.
Indexed in the following databases, The Innovation has visibility in Scopus, Directory of Open Access Journals (DOAJ), Web of Science, Emerging Sources Citation Index (ESCI), PubMed Central, Compendex (previously Ei index), INSPEC, and CABI A&I.
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