Laws, Ethics, and Fairness in Software Engineering

  • Miroslaw Staron
  • , Silvia Abrahão
  • , Alexander Serebrenik
  • , Birgit Penzenstadler
  • , Jennifer Horkoff
  • , Chetan Honnenahalli

Research output: Contribution to journalArticleProfessional

38 Downloads (Pure)

Abstract

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.
Original languageEnglish
Article number10777917
Pages (from-to)110-113
Number of pages4
JournalIEEE Software
Volume42
Issue number1
DOIs
Publication statusPublished - 1 Jan 2025

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