@inproceedings{f747106eb1e548d2a54acbaaabfe0a26,
title = "Workshop Generative and Neurosymbolic AI in Software Engineering (GenSE'2024)",
abstract = "The main goal of the workshop GenSE{\textquoteright}24 is to discuss the newest developments in the area of generative artificial intelligence in the context of software engineering and their practical applications. In order to successfully apply generative AI methods in software engineering, it is particularly important to analyze and critically reflect on issues about the trustworthiness and robustness of this technology. To overcome these issues, one of the main topics of the workshop was selected to be neurosymbolic methods, i.e. methods that combine subsymbolic (machine learning) with symbolic approaches (e.g. knowledge representation and inference based on symbolic logic) to improve the reliability of generative AI methods.",
keywords = "Generative artificial intelligence, Neurosymbolic AI, Software engineering",
author = "Rub{\'e}n Ruiz-Torrubiano and Alois Haselb{\"o}ck and Danilo Valerio",
note = "Publisher Copyright: {\textcopyright} 2024 Gesellschaft fur Informatik (GI). All rights reserved.; Software Engineering 2024 ; Conference date: 26-02-2024",
year = "2024",
month = feb,
day = "21",
doi = "10.18420/sw2024_58",
language = "English",
isbn = "978-3-88579-737-1",
series = "Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)",
publisher = "Gesellschaft f{\"u}r Informatik e.V.",
pages = "171--172",
editor = "Rick Rabiser and Manuel Wimmer and Iris Groher and Andreas Wortmann and Bianca Wiesmayr",
booktitle = "Software Engineering 2024 (SE 2024)",
}