Aligning AI Systems with Human Values: A Method for Identifying and Specifying Values

This work explores how AI-based systems can be designed and developed in a more responsible manner by aligning them with human values. To this end, we propose a structured approach for identifying and specifying values for AI systems through stakeholder workshops. While engaging relevant stakeholders within a particular context of use is crucial for designing more ethically-aligned AI systems, it is not a trivial task due to the inherent complexity and abstractness values can evoke. In this paper, we aim to address these challenges and offer actionable insights by developing methodologies for value identification and specification, grounded in a real-world use case: a healthcare application designed to detect and prevent exacerbations of chronic obstructive pulmonary disease (COPD). We demonstrate how values such as autonomy can be identified, contextualized and translated into concrete design implications guiding the AI system's behaviour. Our contribution offers practical guidance for fellow researchers, designers, developers and regulators seeking to navigate the complexities of responsible AI development.

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Publication Details

Journal
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Published
2025-10-15
DOI
https://doi.org/10.1609/aies.v8i3.36762
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Aligning AI Systems with Human Values: A Method for Identifying and Specifying Values

Marlijn Heijnen, ivana akrum, Liv Ziegfeld, Esther Kox
Proceedings of the AAAI/ACM Conference on AI Ethics and Society
Ethics and Social Impacts of AI
article

Aligning AI Systems with Human Values: A Method for Identifying and Specifying Values

Marlijn Heijnen, ivana akrum, Liv Ziegfeld, Esther Kox
article en

Abstract

This work explores how AI-based systems can be designed and developed in a more responsible manner by aligning them with human values. To this end, we propose a structured approach for identifying and specifying values for AI systems through stakeholder workshops. While engaging relevant stakeholders within a particular context of use is crucial for designing more ethically-aligned AI systems, it is not a trivial task due to the inherent complexity and abstractness values can evoke. In this paper, we aim to address these challenges and offer actionable insights by developing methodologies for value identification and specification, grounded in a real-world use case: a healthcare application designed to detect and prevent exacerbations of chronic obstructive pulmonary disease (COPD). We demonstrate how values such as autonomy can be identified, contextualized and translated into concrete design implications guiding the AI system's behaviour. Our contribution offers practical guidance for fellow researchers, designers, developers and regulators seeking to navigate the complexities of responsible AI development.

Proceedings of the AAAI/ACM Conference on AI Ethics and SocietyVol. 8(3)
Netherlands Organisation for Applied Scientific Research (NL)
Openalex Percentile: Top 71%
Ethics and Social Impacts of AI
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Aligning AI Systems with Human Values: A Method for Identifying and Specifying Values — Marlijn Heijnen, ivana akrum, et al. · Proceedings of the AAAI/ACM Conference on AI Ethics and Society (2025) | TGRS Research Map | TGRS