Responsible AI Innovation in the Public Sector: Lessons from and Recommendations for Facilitating Fundamental Rights and Algorithms Impact Assessments

Iris Muis; Bart Kamphorst; Julia Straatman

doi:10.1016/j.jrt.2025.100118

Responsible AI Innovation in the Public Sector: Lessons from and Recommendations for Facilitating Fundamental Rights and Algorithms Impact Assessments

Iris Muis^*
, Bart Kamphorst
, Julia Straatman

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Since the initial development of the Fundamental Rights and Algorithms Impact Assessment (FRAIA) in 2021, there has been an increasing interest from public sector organizations to gain experience with performing a FRAIA in contexts of developing, procuring, and deploying AI systems. In this contribution, we share observations from fifteen FRAIA trajectories performed in the field within the Dutch public sector context. Based on our experiences facilitating these trajectories, we offer a set of recommendations directed at practitioners with the aim of helping organizations make the best use of FRAIA and similar impact assessment instruments. We conclude by calling for the development of an informal FRAIA community in which practical handholds and advice can be shared to promote responsible AI innovation by ensuring that the human decision making around AI and other algorithms is well informed and well documented with respect to the protection of fundamental rights.

Original language	English
Article number	100118
Journal	Journal of Responsible Technology
Volume	22
Early online date	3 Apr 2025
DOIs	https://doi.org/10.1016/j.jrt.2025.100118
Publication status	Published - Jun 2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s)

Funding

The FRAIA trajectories as discussed in this contribution were funded by the Dutch Ministry of the Interior and Kingdom Relations. Utrecht University's Data School, where the authors are employed, was commissioned to facilitate these trajectories, together with Rijks ICT Gilde (RIG). The authors did not receive any funding for the present contribution.

Funders
Ministerie van Binnenlandse Zaken en Koninkrijksrelaties
Universiteit Utrecht

Keywords

AI
FRAIA
FRIA
Fundamental rights
Impact assessments
Responsible innovation

Access to Document

10.1016/j.jrt.2025.100118Licence: CC BY

1-s2.0-S2666659625000149-mainFinal published version, 431 KBLicence: CC BY

Cite this

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abstract = "Since the initial development of the Fundamental Rights and Algorithms Impact Assessment (FRAIA) in 2021, there has been an increasing interest from public sector organizations to gain experience with performing a FRAIA in contexts of developing, procuring, and deploying AI systems. In this contribution, we share observations from fifteen FRAIA trajectories performed in the field within the Dutch public sector context. Based on our experiences facilitating these trajectories, we offer a set of recommendations directed at practitioners with the aim of helping organizations make the best use of FRAIA and similar impact assessment instruments. We conclude by calling for the development of an informal FRAIA community in which practical handholds and advice can be shared to promote responsible AI innovation by ensuring that the human decision making around AI and other algorithms is well informed and well documented with respect to the protection of fundamental rights.",

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Responsible AI Innovation in the Public Sector: Lessons from and Recommendations for Facilitating Fundamental Rights and Algorithms Impact Assessments

Abstract

Bibliographical note

Funding

Keywords

Access to Document

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