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Laws, Ethics, and Fairness in Software Engineering

Year: 2024

Type: article

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.

Source: IEEE Software

DOI: 10.1109/ms.2024.3469488

Authors: Miroslaw Staron, Silvia Abraháo, Alexander Serebrenik, Birgit Penzenstadler, Jennifer Horkoff, Chetan Honnenahalli

Institutions: Chalmers University of Technology, University of Gothenburg, Universitat Politècnica de València, Eindhoven University of Technology, Meta (United States)

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W4405022523

FWCI: 2.526

Cites:

Cited by: 6

Related to: 10