ABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles
ABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles
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关于 ML：机器学习生命周期理解和透明度的注释和基准测试
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
Jingyi Yang
中科院分区：
文献类型：
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作者：
Inioluwa Deborah Raji;Jingyi Yang
我们提出了“关于机器学习生命周期的理解和透明度的注释和基准测试”（ABOUT ML）项目，作为实现ML透明度并致力于标准ML文档实践的举措。我们证明了该项目在整合各种利益相关者的不同努力方面的相关性和有效性，并引入了目前缺失的声音的观点，这对塑造未来的对话很有价值。我们描述了该计划的细节以及我们希望该项目有助于解决的差距。
We present the "Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles" (ABOUT ML) project as an initiative to operationalize ML transparency and work towards a standard ML documentation practice. We make the case for the project's relevance and effectiveness in consolidating disparate efforts across a variety of stakeholders, as well as bringing in the perspectives of currently missing voices that will be valuable in shaping future conversations. We describe the details of the initiative and the gaps we hope this project will help address.