Serenata de Amor: um Doce Não Tão Saboroso

Thiago Moraes, Antonio Messias Valdevino, Anderson Lopes Nascimento
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Abstract

Objective: This teaching case seeks to discuss the applications of a civic initiative to monitor public spending by federal deputies in Brazil. Data Source: It is an open Data Science project that uses the same artificial intelligence and Machine learning technologies used by giants like Google, Microsoft and Netflix to monitor the use of indemnity funds (Quotas for the Exercise of Parliamentary Activity) granted to parliamentarians and share information in an accessible way to anyone, so that the citizen with a minimum of knowledge can inspect and audit such expenses. Context: The Serenata created Rosie, an artificial intelligence capable of analyzing the expenses reimbursed by the Quota for Exercising Parliamentary Activity of federal deputies and senators, made in the exercise of their function, identifying suspicions and encouraging the population to question them and with her, Jarbas, a dashboard that makes it easy to view all the information monitored by Rosie. Application: disciplines of technologist courses, undergraduate and graduate courses, lato sensu and strictu sensu of Administration, Information Systems and the like, in subjects related to Data Science, Machine Learning and Open Data.
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爱情小夜曲:一种不那么美味的糖果
目的:本教学案例旨在讨论公民倡议在监督巴西联邦议员公共支出方面的应用。数据来源:这是一个开放的数据科学项目,使用谷歌、微软和网飞等巨头使用的相同人工智能和机器学习技术来监控授予议员的赔偿基金(议会活动配额)的使用情况,并以任何人都可以访问的方式共享信息,以便具有最低知识的公民能够检查和审计这些费用。背景:Serenata创造了Rosie,这是一种人工智能,能够分析联邦众议员和参议员在行使其职能时所产生的行使议会活动配额所报销的费用,识别怀疑并鼓励民众对其进行质疑,Jarbas,一个仪表板,可以轻松查看Rosie监控的所有信息。应用:与数据科学、机器学习和开放数据相关的技术专家课程、本科生和研究生课程、行政管理、信息系统等的广义和狭义学科。
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