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Software Architecture and Machine Learning (Dagstuhl Seminar 23302) Lewis, Grace A. Muccini, Henry Ozkaya, Ipek Vaidhyanathan, Karthik Weiss, Roland Zhu, Liming Architecting ML-enabled Systems ML for Software Architecture Software Architecture for ML Machine Learning Software Architecture Software Engineering This report documents the program and outcomes of Dagstuhl Seminar 23302, "Software Architecture and Machine Learning". We summarize the goals and format of the seminar, results from the breakout groups, key definitions relevant to machine learning-enabled systems that were discussed, and the research roadmap that emerged from the discussions during the seminar. The report also includes the abstracts of the talks presented at the seminar and summaries of open discussions. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Grace A. Lewis and Henry Muccini and Ipek Ozkaya and Karthik Vaidhyanathan and Roland Weiss and Liming Zhu 2024 Is Part Of Dagstuhl Reports, Volume 13, Issue 7 (2024) Article Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagRep.13.7.166 urn:nbn:de:0030-drops-197793 https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.7.166 eng https://creativecommons.org/licenses/by/4.0/legalcode