A First Look at AI Trends in Value-Aligned Software Engineering Publications: Human-LLM Insights

Recent criticism of social media platforms by the U.S. Senate Judiciary Committee for neglecting child safety exemplifies how software can undermine human values. This is further complicated by the growing integration of Artificial Intelligence (AI) in software, which introduces inherent challenges such as biases and limited transparency. However, AI also presents opportunities to embed human values into software. To explore these opportunities, we have utilized the reasoning abilities of ChatGPT, a large language model (LLM), in combination with human expertise, to study the use of AI in publications that address human values, across some of the leading software engineering (SE) venues from 2022 to 2023. Our findings confirm the use of AI concepts - mainly General Machine Learning - in around 33 % of these valuealigned publications. The value alignments largely concern pragmatic aspects of Achievement and (personal) Security, while the majority of the values receive less attention. The socially focused values of Conformity and Tradition and the personally focused value of Hedonism are rarely addressed in the SE publications.

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Publication Details

Published
2025-04-27
DOI
https://doi.org/10.1109/icse-seis66351.2025.00014
Citations
2
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
4.73
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article

A First Look at AI Trends in Value-Aligned Software Engineering Publications: Human-LLM Insights

Ahmad Azarnik, Elahe Mougouei, Hoa Khanh Dam, Davoud Mougouei et al.
2 citations
Ethics and Social Impacts of AI
4.73
article

A First Look at AI Trends in Value-Aligned Software Engineering Publications: Human-LLM Insights

Ahmad Azarnik, Elahe Mougouei, Hoa Khanh Dam, Davoud Mougouei, Javed Ali Khan, Aakash Ahmad, Mahdi Fahmideh, Saima Rafi, Arif Ali Khan
article en
2 citations

Abstract

Recent criticism of social media platforms by the U.S. Senate Judiciary Committee for neglecting child safety exemplifies how software can undermine human values. This is further complicated by the growing integration of Artificial Intelligence (AI) in software, which introduces inherent challenges such as biases and limited transparency. However, AI also presents opportunities to embed human values into software. To explore these opportunities, we have utilized the reasoning abilities of ChatGPT, a large language model (LLM), in combination with human expertise, to study the use of AI in publications that address human values, across some of the leading software engineering (SE) venues from 2022 to 2023. Our findings confirm the use of AI concepts - mainly General Machine Learning - in around 33 % of these valuealigned publications. The value alignments largely concern pragmatic aspects of Achievement and (personal) Security, while the majority of the values receive less attention. The socially focused values of Conformity and Tradition and the personally focused value of Hedonism are rarely addressed in the SE publications.

University of Hertfordshire (GB), Deakin University (AU), University of Southern Queensland (AU), University of Wollongong (AU), Edinburgh Napier University (GB), University of Technology Malaysia (MY), Islamic Azad University of Najafabad (IR), University of Oulu (FI)
Industry, innovation and infrastructure
Openalex Percentile: Top 6%
Ethics and Social Impacts of AI
4.73
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A First Look at AI Trends in Value-Aligned Software Engineering Publications: Human-LLM Insights — Ahmad Azarnik, Elahe Mougouei, et al. · (2025) | TGRS Research Map | TGRS