Laws, Ethics, and Fairness in Software Engineering
Övrig text i vetenskaplig tidskrift, 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.
Författare
Miroslaw Staron
Chalmers, Data- och informationsteknik, Software Engineering
Göteborgs universitet
Silvia Abrahao
Universitat Politecnica de Valencia (UPV)
Alexander Serebrenik
Technische Universiteit Eindhoven
Birgit Penzenstadler
Göteborgs universitet
Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering
Jennifer Horkoff
Göteborgs universitet
Chalmers, Data- och informationsteknik, Interaktionsdesign och Software Engineering
IEEE Software
0740-7459 (ISSN) 19374194 (eISSN)
Vol. 42 1 110-113Ämneskategorier (SSIF 2011)
Programvaruteknik
Datavetenskap (datalogi)
DOI
10.1109/MS.2024.3469488