Inventory of ODAP Public Algorithms
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Inventory of algorithms developed and implemented by central administrations, carried out by the Observatory of Public Algorithms (ODAP). For each algorithm listed, the inventory shall, if the information is available, provide information on: - The context in which the algorithm was designed (project institutions, partners, budgets, etc.), which influences the scope and limits of its use. - The technical aspects of the algorithm (models, training data) that directly shape the results obtained. - The current regulatory framework, which guides or restricts its possible uses. - Available documentation (source code, articles, institutional sites, etc.). - Evaluations carried out by the administration itself or by third parties. In its first version (November 2024), the inventory takes into account: - All types of algorithmic systems, whether based on machine learning (deep learning), rules systems (example: compute files), or other technologies, and whether or not they are involved in decision-making. - Algorithms developed or used by central administrations and state agencies, excluding, for the moment, local and regional authorities and the hospital civil service. - Algorithms that are publicly documented: either in documents of the administrations themselves or by third parties. The inventory of ODAP's public algorithms does not claim to be exhaustive and will be updated on a regular basis. Information on the observatory is available [on our website ](https://www.odap.fr/)
公共算法观测台(Observatory of Public Algorithms,ODAP)编制的中央行政部门开发算法清单。 针对清单所列的每一项算法,若可获取相关信息,本清单将提供以下维度的内容: - 算法设计的应用场景(包括项目牵头机构、合作方、预算等),该场景直接影响算法的使用范围与边界; - 算法的技术细节(如模型、训练数据),这些要素直接决定算法的输出结果; - 指导或限制算法潜在应用的现行监管框架; - 可获取的文档资料(如源代码、学术论文、官方机构站点等); - 由行政部门自身或第三方开展的评估工作。 本清单的首个版本(2024年11月)涵盖以下范畴: - 全类型算法系统,包括基于机器学习(深度学习)、规则系统(例如:文件计算类算法)及其他技术路线的系统,无论其是否参与决策流程; - 中央行政部门与国家机构开发或使用的算法,目前暂不包含地方与区域当局以及医院公职部门相关的算法; - 已公开披露的算法:即已在行政部门官方文件或第三方公开渠道发布的算法。 ODAP公共算法清单并非完备无遗,后续将定期进行更新维护。 有关该观测台的详细信息可通过[官方网站](https://www.odap.fr/)查询。



