Lessons Learned in Performing a Trustworthy AI and Fundamental Rights Assessment
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2024
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| author | Boonstra, Marjolein Bruneault, Frédérick Chakraborty, Subrata Faber, Tjitske Gallucci, Alessio Hickman, Eleanore Kema, Gerard Kim, Heejin Kooiker, Jaap Hildt, Elisabeth Lamadé, Annegret Mathez, Emilie Wiinblad Möslein, Florian Pathuis, Genien Sartor, Giovanni Steege, Marijke Stocco, Alice Tadema, Willy Tuimala, Jarno van Vledder, Isabel Vetter, Dennis Vetter, Jana Westerlund, Magnus Zicari, Roberto V. |
| author_facet | Boonstra, Marjolein Bruneault, Frédérick Chakraborty, Subrata Faber, Tjitske Gallucci, Alessio Hickman, Eleanore Kema, Gerard Kim, Heejin Kooiker, Jaap Hildt, Elisabeth Lamadé, Annegret Mathez, Emilie Wiinblad Möslein, Florian Pathuis, Genien Sartor, Giovanni Steege, Marijke Stocco, Alice Tadema, Willy Tuimala, Jarno van Vledder, Isabel Vetter, Dennis Vetter, Jana Westerlund, Magnus Zicari, Roberto V. |
| contents | 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 Frŷslan 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_14366 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Lessons Learned in Performing a Trustworthy AI and Fundamental Rights Assessment Boonstra, Marjolein Bruneault, Frédérick Chakraborty, Subrata Faber, Tjitske Gallucci, Alessio Hickman, Eleanore Kema, Gerard Kim, Heejin Kooiker, Jaap Hildt, Elisabeth Lamadé, Annegret Mathez, Emilie Wiinblad Möslein, Florian Pathuis, Genien Sartor, Giovanni Steege, Marijke Stocco, Alice Tadema, Willy Tuimala, Jarno van Vledder, Isabel Vetter, Dennis Vetter, Jana Westerlund, Magnus Zicari, Roberto V. Computers and Society 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 Frŷslan 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. |
| title | Lessons Learned in Performing a Trustworthy AI and Fundamental Rights Assessment |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2404.14366 |