Toward developing a Social Impact Assessment for AI in the public sector (SIA4AI) framework: key design considerations

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Abstract

The rapid development and use of Artificial Intelligence (AI) systems in the public sector necessitate a structured approach to assess their societal impacts. This research focuses on identifying key design considerations for a Social Impact Assessment for AI (SIA4AI) framework tailored to AI's unique challenges and opportunities in the public sector. We address the limitations of existing AI impact
assessment methodologies, which often take a top-down approach, focusing primarily on technical and ethical concerns while overlooking broader societal implications. Through an analysis of different assessment methodologies, we identify key design considerations to guide the development of a SIA4AI framework. This framework aims to ensure AI systems align with the values
and priorities of diverse citizen groups, particularly vulnerable social groups, to promote societal benefits and mitigate potential harms of AI systems in the public sector.
Original languageEnglish
Title of host publicationFourth European Workshop on Algorithmic Fairness, Proceedings of EWAF’25
PublisherPMLR
Pages351-356
Number of pages6
Volume294
Publication statusPublished - 2025
EventFourth European Workshop on Algorithmic Fairness - Eindhoven University of Technology, Eindhoven, Netherlands
Duration: 30 Jun 20252 Jul 2025
https://2025.ewaf.org/

Conference

ConferenceFourth European Workshop on Algorithmic Fairness
Abbreviated titleEWAF’25
Country/TerritoryNetherlands
CityEindhoven
Period30/06/252/07/25
Internet address

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