We'll never have a model of an AI major-general: Artificial Intelligence, command decisions, and kitsch visions of war.

E3S Web of Conferences Pub Date : 2023-08-07 eCollection Date: 2024-01-01 DOI:10.1080/01402390.2023.2241648
Cameron Hunter, Bleddyn E Bowen
{"title":"We'll never have a model of an AI major-general: Artificial Intelligence, command decisions, and kitsch visions of war.","authors":"Cameron Hunter, Bleddyn E Bowen","doi":"10.1080/01402390.2023.2241648","DOIUrl":null,"url":null,"abstract":"<p><p>Military AI optimists predict future AI assisting or making command decisions. We instead argue that, at a fundamental level, these predictions are dangerously wrong. The nature of war demands decisions based on abductive logic, whilst machine learning (or 'narrow AI') relies on inductive logic. The two forms of logic are not interchangeable, and therefore AI's limited utility in command - both tactical and strategic - is not something that can be solved by more data or more computing power. Many defence and government leaders are therefore proceeding with a false view of the nature of AI and of war itself.</p>","PeriodicalId":11445,"journal":{"name":"E3S Web of Conferences","volume":"1 1","pages":"116-146"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10941604/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"E3S Web of Conferences","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1080/01402390.2023.2241648","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Military AI optimists predict future AI assisting or making command decisions. We instead argue that, at a fundamental level, these predictions are dangerously wrong. The nature of war demands decisions based on abductive logic, whilst machine learning (or 'narrow AI') relies on inductive logic. The two forms of logic are not interchangeable, and therefore AI's limited utility in command - both tactical and strategic - is not something that can be solved by more data or more computing power. Many defence and government leaders are therefore proceeding with a false view of the nature of AI and of war itself.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
我们永远不会有人工智能少将的模型:人工智能、指挥决策,以及对战争的俗套想象。
军事人工智能乐观主义者预测未来人工智能将协助或做出指挥决策。而我们认为,从根本上讲,这些预测都是危险的错误。战争的本质要求基于归纳逻辑做出决策,而机器学习(或 "狭义人工智能")则依赖于归纳逻辑。这两种逻辑形式不能互换,因此,人工智能在战术和战略指挥方面的作用有限,这不是更多数据或更强计算能力就能解决的问题。因此,许多国防和政府领导人对人工智能和战争本身的性质持有错误的看法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
E3S Web of Conferences
E3S Web of Conferences Energy-Energy (all)
CiteScore
0.90
自引率
0.00%
发文量
1133
期刊介绍: E3S Web of Conferences is an Open Access publication series dedicated to archiving conference proceedings in all areas related to Environment, Energy and Earth Sciences. The journal covers the technological and scientific aspects as well as social and economic matters. Major disciplines include: soil sciences, hydrology, oceanography, climatology, geology, geography, energy engineering (production, distribution and storage), renewable energy, sustainable development, natural resources management… E3S Web of Conferences offers a wide range of services from the organization of the submission of conference proceedings to the worldwide dissemination of the conference papers. It provides an efficient archiving solution, ensuring maximum exposure and wide indexing of scientific conference proceedings. Proceedings are published under the scientific responsibility of the conference editors.
期刊最新文献
Soft-switching dual Active Bridge Converter-based Bidirectional On-Board Charger for Electric Vehicles under Vehicle-to-Grid and Grid-to-Vehicle Control Optimization A Systematic Review and Psychometric Appraisal of Instruments Measuring Tuberculosis Stigma in Sub-Saharan Africa. A weighted Jackknife approach utilizing linear model based-estimators for clustered data. Exercise Improves Physical Capacity, Cognition, Quality of Life and Promotes Neurotrophic Factors in Patients with Multiple Sclerosis. Modified boron-carbon nanotubes as effective sensor devices for environmental pollution control
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1