"So what if I used GenAI?" - Legal Implications of Using Cloud-based GenAI in Software Engineering Research

Generative Artificial Intelligence (GenAI) advances have led to new technologies capable of generating high-quality code, textual content, and images. The next step is to integrate GenAI technology into various aspects while conducting research or other related areas, a task typically conducted by researchers. Such research outcomes always come with a certain risk of liability. This vision paper sheds light on the various research aspects in which GenAI is used, thus raising awareness of its legal implications to novice and budding researchers. In particular, there are two risks: data protection and copyright. Both aspects are crucial for GenAI. We summarize key aspects regarding our current knowledge that every software researcher involved in using GenAI should be aware of to avoid critical mistakes that may expose them to liability claims and propose a checklist to guide such awareness.

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Publication Details

Published
2025-04-27
DOI
https://doi.org/10.1109/forge66646.2025.00034
Citations
2
Primary Topic
Digitalization, Law, and Regulation
Type
article
Field-Weighted Citation Impact
31.97
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article

"So what if I used GenAI?" - Legal Implications of Using Cloud-based GenAI in Software Engineering Research

Gouri Ginde
2 citations
Digitalization, Law, and Regulation
31.97
article

"So what if I used GenAI?" - Legal Implications of Using Cloud-based GenAI in Software Engineering Research

Gouri Ginde
article en
2 citations

Abstract

Generative Artificial Intelligence (GenAI) advances have led to new technologies capable of generating high-quality code, textual content, and images. The next step is to integrate GenAI technology into various aspects while conducting research or other related areas, a task typically conducted by researchers. Such research outcomes always come with a certain risk of liability. This vision paper sheds light on the various research aspects in which GenAI is used, thus raising awareness of its legal implications to novice and budding researchers. In particular, there are two risks: data protection and copyright. Both aspects are crucial for GenAI. We summarize key aspects regarding our current knowledge that every software researcher involved in using GenAI should be aware of to avoid critical mistakes that may expose them to liability claims and propose a checklist to guide such awareness.

University of Calgary (CA)
Openalex Percentile: Top 1%
Digitalization, Law, and Regulation
31.97
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