{"title":"关于开放源代码许可证的修改和撤销","authors":"Paul Gagnon, Misha Benjamin, Justine Gauthier, Catherine Regis, Jenny Lee, Alexei Nordell-Markovits","doi":"arxiv-2407.13064","DOIUrl":null,"url":null,"abstract":"Historically, open source commitments have been deemed irrevocable once\nmaterials are released under open source licenses. In this paper, the authors\nargue for the creation of a subset of rights that allows open source\ncontributors to force users to (i) update to the most recent version of a\nmodel, (ii) accept new use case restrictions, or even (iii) cease using the\nsoftware entirely. While this would be a departure from the traditional open\nsource approach, the legal, reputational and moral risks related to\nopen-sourcing AI models could justify contributors having more control over\ndownstream uses. Recent legislative changes have also opened the door to\nliability of open source contributors in certain cases. The authors believe\nthat contributors would welcome the ability to ensure that downstream users are\nimplementing updates that address issues like bias, guardrail workarounds or\nadversarial attacks on their contributions. Finally, this paper addresses how\nthis license category would interplay with RAIL licenses, and how it should be\noperationalized and adopted by key stakeholders such as OSS platforms and\nscanning tools.","PeriodicalId":501285,"journal":{"name":"arXiv - CS - Digital Libraries","volume":"47 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On the modification and revocation of open source licences\",\"authors\":\"Paul Gagnon, Misha Benjamin, Justine Gauthier, Catherine Regis, Jenny Lee, Alexei Nordell-Markovits\",\"doi\":\"arxiv-2407.13064\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Historically, open source commitments have been deemed irrevocable once\\nmaterials are released under open source licenses. In this paper, the authors\\nargue for the creation of a subset of rights that allows open source\\ncontributors to force users to (i) update to the most recent version of a\\nmodel, (ii) accept new use case restrictions, or even (iii) cease using the\\nsoftware entirely. While this would be a departure from the traditional open\\nsource approach, the legal, reputational and moral risks related to\\nopen-sourcing AI models could justify contributors having more control over\\ndownstream uses. Recent legislative changes have also opened the door to\\nliability of open source contributors in certain cases. The authors believe\\nthat contributors would welcome the ability to ensure that downstream users are\\nimplementing updates that address issues like bias, guardrail workarounds or\\nadversarial attacks on their contributions. Finally, this paper addresses how\\nthis license category would interplay with RAIL licenses, and how it should be\\noperationalized and adopted by key stakeholders such as OSS platforms and\\nscanning tools.\",\"PeriodicalId\":501285,\"journal\":{\"name\":\"arXiv - CS - Digital Libraries\",\"volume\":\"47 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Digital Libraries\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2407.13064\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Digital Libraries","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.13064","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the modification and revocation of open source licences
Historically, open source commitments have been deemed irrevocable once
materials are released under open source licenses. In this paper, the authors
argue for the creation of a subset of rights that allows open source
contributors to force users to (i) update to the most recent version of a
model, (ii) accept new use case restrictions, or even (iii) cease using the
software entirely. While this would be a departure from the traditional open
source approach, the legal, reputational and moral risks related to
open-sourcing AI models could justify contributors having more control over
downstream uses. Recent legislative changes have also opened the door to
liability of open source contributors in certain cases. The authors believe
that contributors would welcome the ability to ensure that downstream users are
implementing updates that address issues like bias, guardrail workarounds or
adversarial attacks on their contributions. Finally, this paper addresses how
this license category would interplay with RAIL licenses, and how it should be
operationalized and adopted by key stakeholders such as OSS platforms and
scanning tools.