Stefan Arnold, Dilara Yesilbas, Rene Gröbner, Dominik Riedelbauch, Maik Horn, Sven Weinzierl
{"title":"人工智能的文档编制实践","authors":"Stefan Arnold, Dilara Yesilbas, Rene Gröbner, Dominik Riedelbauch, Maik Horn, Sven Weinzierl","doi":"arxiv-2406.18620","DOIUrl":null,"url":null,"abstract":"Artificial Intelligence (AI) faces persistent challenges in terms of\ntransparency and accountability, which requires rigorous documentation. Through\na literature review on documentation practices, we provide an overview of\nprevailing trends, persistent issues, and the multifaceted interplay of factors\ninfluencing the documentation. Our examination of key characteristics such as\nscope, target audiences, support for multimodality, and level of automation,\nhighlights a dynamic evolution in documentation practices, underscored by a\nshift towards a more holistic, engaging, and automated documentation.","PeriodicalId":501285,"journal":{"name":"arXiv - CS - Digital Libraries","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Documentation Practices of Artificial Intelligence\",\"authors\":\"Stefan Arnold, Dilara Yesilbas, Rene Gröbner, Dominik Riedelbauch, Maik Horn, Sven Weinzierl\",\"doi\":\"arxiv-2406.18620\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial Intelligence (AI) faces persistent challenges in terms of\\ntransparency and accountability, which requires rigorous documentation. Through\\na literature review on documentation practices, we provide an overview of\\nprevailing trends, persistent issues, and the multifaceted interplay of factors\\ninfluencing the documentation. Our examination of key characteristics such as\\nscope, target audiences, support for multimodality, and level of automation,\\nhighlights a dynamic evolution in documentation practices, underscored by a\\nshift towards a more holistic, engaging, and automated documentation.\",\"PeriodicalId\":501285,\"journal\":{\"name\":\"arXiv - CS - Digital Libraries\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-26\",\"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-2406.18620\",\"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-2406.18620","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Documentation Practices of Artificial Intelligence
Artificial Intelligence (AI) faces persistent challenges in terms of
transparency and accountability, which requires rigorous documentation. Through
a literature review on documentation practices, we provide an overview of
prevailing trends, persistent issues, and the multifaceted interplay of factors
influencing the documentation. Our examination of key characteristics such as
scope, target audiences, support for multimodality, and level of automation,
highlights a dynamic evolution in documentation practices, underscored by a
shift towards a more holistic, engaging, and automated documentation.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
