Laws, Ethics, and Fairness in Software Engineering
Other text in scientific journal, 2025
Software engineering in the era of generative AI, large data sets and superfast pace of software development often tends to focus on technology, tools and methods, putting aside us, software engineers. In this column, we focus on softer aspects of software engineering and report from two conferences: 28th International Conference on Evaluation and Assessment in Software Engineering (EASE 2024) and 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2024). The selection of papers provides a glimpse on handling privacy, documenting ethical considerations in AI models and trustworthy AI.
Author
Miroslaw Staron
Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)
University of Gothenburg
Silvia Abrahao
Polytechnic University of Valencia (UPV)
Alexander Serebrenik
Eindhoven University of Technology
Birgit Penzenstadler
University of Gothenburg
Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering
Jennifer Horkoff
University of Gothenburg
Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering
IEEE Software
0740-7459 (ISSN) 19374194 (eISSN)
Vol. 42 1 110-113Subject Categories (SSIF 2011)
Software Engineering
Computer Science
DOI
10.1109/MS.2024.3469488