TY - GEN
T1 - A First Look at AI Trends in Value-Aligned Software Engineering Publications
T2 - 47th IEEE/ACM International Conference on Software Engineering: Software Engineering in Society, ICSE-SEIS 2025
AU - Mougouei, Davoud
AU - Azarnik, Ahmad
AU - Fahmideh, Mahdi
AU - Mougouei, Elahe
AU - Dam, Hoa Khanh
AU - Khan, Arif Ali
AU - Rafi, Saima
AU - Khan, Javed Ali
AU - Ahmad, Aakash
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - Artificial Intelligence (AI)
KW - ChatGPT
KW - Human Values
KW - Large Language Models (LLMs)
KW - Software Engineering
KW - Value-Aligned Publications
UR - https://www.scopus.com/pages/publications/105008498256
U2 - 10.1109/ICSE-SEIS66351.2025.00014
DO - 10.1109/ICSE-SEIS66351.2025.00014
M3 - Conference contribution
AN - SCOPUS:105008498256
T3 - Proceedings - International Conference on Software Engineering
SP - 82
EP - 93
BT - Proceedings - 2025 IEEE/ACM 47th International Conference on Software Engineering
PB - Institute of Electrical and Electronics Engineers (IEEE)
Y2 - 27 April 2025 through 3 May 2025
ER -