Laws, Ethics, and Fairness in Software Engineering

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...

Full description

Saved in:
Bibliographic Details
Published in:IEEE software 2025-01, Vol.42 (1), p.110-113
Main Authors: Staron, Miroslaw, Abrahao, Silvia, Serebrenik, Alexander, Penzenstadler, Birgit, Horkoff, Jennifer, Honnenahalli, Chetan
Format: Article
Language:English
Subjects:
Artificial intelligence
Ethics
Generative AI
Generative artificial intelligence
Privacy
Software development
Software development management
Software engineering
Software measurement
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0740-7459
1937-4194
DOI:10.1109/MS.2024.3469488