This report shares the experiences, results and lessons learned in conducting a pilot project ``Responsible use of AI'' in cooperation with the Province of Friesland, Rijks ICT Gilde-part of the Ministry of the Interior and Kingdom Relations (BZK) (both in The Netherlands) and a group of members of the Z-Inspection$^{\small{\circledR}}$ Initiative. The pilot project took place from May 2022 through January 2023. During the pilot, the practical application of a deep learning algorithm from the province of Fr\^yslan was assessed. The AI maps heathland grassland by means of satellite images for monitoring nature reserves. Environmental monitoring is one of the crucial activities carried on by society for several purposes ranging from maintaining standards on drinkable water to quantifying the CO2 emissions of a particular state or region. Using satellite imagery and machine learning to support decisions is becoming an important part of environmental monitoring. The main focus of this report is to share the experiences, results and lessons learned from performing both a Trustworthy AI assessment using the Z-Inspection$^{\small{\circledR}}$ process and the EU framework for Trustworthy AI, and combining it with a Fundamental Rights assessment using the Fundamental Rights and Algorithms Impact Assessment (FRAIA) as recommended by the Dutch government for the use of AI algorithms by the Dutch public authorities.

翻译：本报告分享了与荷兰弗里斯兰省、荷兰内政与王国关系部下属Rijks ICT Gilde以及Z-Inspection®倡议部分成员合作开展的“负责任AI使用”试点项目的经验、成果与教训。该试点项目于2022年5月至2023年1月进行。试点期间，评估了弗里斯兰省一款深度学习算法的实际应用——该算法通过卫星图像对自然保护区内的石楠草原进行监测。环境监测是社会为维持饮用水标准、量化特定国家或地区二氧化碳排放等多项用途而开展的关键活动之一。利用卫星图像与机器学习辅助决策正成为环境监测的重要组成部分。本报告主要分享运用Z-Inspection®流程及欧盟可信AI框架开展可信AI评估，同时结合荷兰政府向公共部门推荐的基本权利与算法影响评估（FRAIA）进行基本权利评估的经验、成果与教训。