arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2402.09286cs.AIcs.LG
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营养成分表、药品说明书与模型说明书:在枪支暴力研究中将AI伦理付诸实践

Nutrition Facts, Drug Facts, and Model Facts: Putting AI Ethics into Practice in Gun Violence Research

Jessica Zhu, Michel Cukier, Joseph Richardson

AI总结:

本研究提出一种名为Model Facts的AI透明度框架,通过标准化展示准确性与人口统计数据,帮助普通用户无需技术背景即可评估模型偏差,并在枪支伤害研究模型中验证了其有效性。

摘要:

目的:枪支伤害研究需要使用经常被剥削的黑人和棕色人种美国弱势群体的数据。为了尽量减少不信任,本研究提供了一个与普通人群建立AI信任和透明度的框架。方法:我们提出了一种Model Facts(模型说明书)模板,该模板易于扩展,并将准确性和人口统计数据分解为标准化且复杂度最低的数值。该框架允许普通用户评估模型的有效性和偏差,而无需深入研究技术模型文档。示例:我们将Model Facts模板应用于两个先前发布的模型,即暴力风险识别模型和自杀风险预测模型。我们证明了当数据结构合理时,可以轻松访问适当的信息。讨论:Model Facts模板目前的形式仅限于基于人类的数据和偏差。与营养成分表一样,它也需要一些教育资源供用户掌握其全部功能。应进行人机交互实验,以确保用户界面和模型界面之间的交互符合预期。结论:Model Facts标签是第一个致力于与最终用户和普通人群消费者建立信任的框架。将Model Facts实施到枪支伤害研究中,将使公共卫生从业者和受枪支伤害影响的人对研究提供的工具更有信心。

英文摘要:

Objective: Firearm injury research necessitates using data from often-exploited vulnerable populations of Black and Brown Americans. In order to minimize distrust, this study provides a framework for establishing AI trust and transparency with the general population. Methods: We propose a Model Facts template that is easily extendable and decomposes accuracy and demographics into standardized and minimally complex values. This framework allows general users to assess the validity and biases of a model without diving into technical model documentation. Examples: We apply the Model Facts template on two previously published models, a violence risk identification model and a suicide risk prediction model. We demonstrate the ease of accessing the appropriate information when the data is structured appropriately. Discussion: The Model Facts template is limited in its current form to human based data and biases. Like nutrition facts, it also will require some educational resources for users to grasp its full utility. Human computer interaction experiments should be conducted to ensure that the interaction between user interface and model interface is as desired. Conclusion: The Model Facts label is the first framework dedicated to establishing trust with end users and general population consumers. Implementation of Model Facts into firearm injury research will provide public health practitioners and those impacted by firearm injury greater faith in the tools the research provides.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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