Article(id=1259534375461503011, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1259534365424476487, articleNumber=null, orderNo=null, doi=10.3981/j.issn.1000-7857.2025.05.00073, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1747065600000, receivedDateStr=2025-05-13, revisedDate=1760112000000, revisedDateStr=2025-10-11, acceptedDate=null, acceptedDateStr=null, onlineDate=1778225996127, onlineDateStr=2026-05-08, pubDate=1777305600000, pubDateStr=2026-04-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1778225996127, onlineIssueDateStr=2026-05-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1778225996126, creator=13701087609, updateTime=1778225996126, updator=13701087609, issue=Issue{id=1259534365424476487, tenantId=1146029695717560320, journalId=1146031591421210625, year='2026', volume='44', issue='8', pageStart='1', pageEnd='132', issueExtLink='null', onlineDate='null', pubDate='1777305600000', pubDateStr='2026-04-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1778225993734, creator='13701087609', updateTime=1779872078796, updator='15210826404', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1266438546735915246, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1259534365424476487, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1266438546735915247, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1259534365424476487, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=17, endPage=21, ext={EN=ArticleExt(id=1259534380008128572, articleId=1259534375461503011, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=The goal of AI value alignment: Natural justice, columnId=1150494641880182997, journalTitle=Science & Technology Review, columnName=Commentary, runingTitle=null, highlight=null, articleAbstract=
Among the things that can be considered as the goal of AI value alignment, the consensus values of all humanity, which transcend both individual users and communities, should be chosen. Among the many factors of the consensus values of all humanity, natural justice—the only truly existing moral law—should be chosen. In short, the goal of AI value alignment should be natural justice. Natural justice is this: a player views any game in which any player of the current game is involved and which has a structure similar to that of the current game as a stage game of the same indefinitely repeated game, and thus, from this perspective, his strategy (action) is (1) in the first round, to cooperate, (2) from the second round onwards, to reciprocate, i.e., to reward or to punish, but if he defected in the previous round, to correct his own fault. Using three methods, namely global overlapping consensus, the "veil of ignorance" thought experiment, and the social choice thought experiment, to determine the goal of AI value alignment, all lead to the same conclusion: the goal of AI value alignment should be natural justice. Several issues requiring further research are proposed.
, authors=null, authorsList=Huaming GAN, Zeyu PENG, authorCompany=null, correspAuthors=Zeyu PENG, authorNote=null, correspAuthorsNote=null, copyrightStatement=
All rights reserved. Unauthorized reproduction is prohibited., copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1259534382415659079, articleId=1259534375461503011, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=人工智能价值对齐的目标:自然正义, columnId=1150494642043760854, journalTitle=科技导报, columnName=科技评论, runingTitle=null, highlight=null, articleAbstract=
在考虑可以用来作为人工智能价值对齐的目标时,应该选择超越用户并且超越社群的全人类共识价值观,而在全人类共识价值观的诸多因素中,应该选择自然正义这个唯一真实存在的道德律;简言之,人工智能价值对齐的目标应该是自然正义。自然正义是:参与者把任何有当前博弈的任何参与者参与的、跟当前博弈结构类似的博弈都视为同一个无限期重复博弈的一个阶段博弈。从而,在此视角下,他的策略(行动)为:(1)第1轮合作,(2)从第2轮起还报,即奖赏或惩罚,但如果他上一轮背叛则改过。使用全球重叠共识、“无知之幕”思想实验、社会选择思想实验3种方法来决定人工智能价值对齐的目标,均得到同一个结论,即人工智能价值对齐的目标应该是自然正义。提出了需要进一步研究的与自然正义用于人工智能有关的问题。
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