An Analysis of Scientific Requirements on Artificial Intelligence Governance

The emergence of AI technology has prompted the need for standardization and governance due to the potential societal risks associated with its use. However, there is currently no common concept for AI standardization, that considers a broad range of social and ethical subject areas. International cooperation is necessary to address the possible threats, and various nations and organizations have already made initial efforts in this direction. Our overall research question investigates, to what extent requirements based on scientific insights have been addressed in international standards and what new insights standardization efforts can offer to science. In this paper we report the findings of an extensive systematic literature review of 482 scientific articles, using a hybrid analysis process combining manual coding with generative AI supported triangulation steps. The resulting 17 requirements will be used as a basis for a thematic analysis of the most relevant AI standards currently being developed and deployed globally.

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Published
2025-06-09
DOI
https://doi.org/10.18690/um.fov.4.2025.37
Primary Topic
Ethics and Social Impacts of AI
Type
article
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article

An Analysis of Scientific Requirements on Artificial Intelligence Governance

Roger Bons, Rüdiger Buchkremer, Mike Goebel
Ethics and Social Impacts of AI
article

An Analysis of Scientific Requirements on Artificial Intelligence Governance

Roger Bons, Rüdiger Buchkremer, Mike Goebel
article en

Abstract

The emergence of AI technology has prompted the need for standardization and governance due to the potential societal risks associated with its use. However, there is currently no common concept for AI standardization, that considers a broad range of social and ethical subject areas. International cooperation is necessary to address the possible threats, and various nations and organizations have already made initial efforts in this direction. Our overall research question investigates, to what extent requirements based on scientific insights have been addressed in international standards and what new insights standardization efforts can offer to science. In this paper we report the findings of an extensive systematic literature review of 482 scientific articles, using a hybrid analysis process combining manual coding with generative AI supported triangulation steps. The resulting 17 requirements will be used as a basis for a thematic analysis of the most relevant AI standards currently being developed and deployed globally.

Univerza (Czechia) (CZ), National School of Leadership in Education (SI)
Openalex Percentile: Top 88%
Ethics and Social Impacts of AI
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An Analysis of Scientific Requirements on Artificial Intelligence Governance — Roger Bons, Rüdiger Buchkremer, et al. · (2025) | TGRS Research Map | TGRS