| Time: | November 8, 2023, 2:00 p.m. (CET) |
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The Special Interest Group Data Infrastructure provides a forum for interested working groups wishing to establish or further develop an RDM infrastructure at working group or institute level. We invite you to a monthly SIGDIUS seminar, to which we invite internal and external experts for presentations and discussions. SIGDIUS members will have the opportunity to exchange their experiences with concrete RDM infrastructures.
We cordially invite all interested parties to our next meeting on 8 November 2023 at 2:00 p.m. For participation, please send an e-mail to Juergen.Pleiss@itb.uni-stuttgart.de.
This seminar will be held as an online seminar with talks from
Lisa Käde
(JBB Rechtsanwälte Jaschinski Biere Brexl Partnerschaft mbB)
Creative (?) Machines – Copyright Aspects of Machine Learning
Artificial intelligence (especially in the form of generative machine learning models) has received increasing attention in recent years. With generative ML models available online, access to what might be called “artificial creativity” is easier than ever. However, the use of this new technology raises many legal questions: Can existing copyright protected data be used to train new models? How can the machine learning models themselves be protected? And who can claim authorship of machine learning output – or should we consider all AI output to be in the public domain? And beyond the legal domain: How is creativity even involved? The session will provide relevant basics on machine learning and copyright considerations, to help answer at least some of these questions.
Dr. Lisa Käde studied both business informatics (B.Sc., DHBW Stuttgart) and law (Uni Freiburg) and received her doctoral degree in law from the Albert-Ludwigs-Universität Freiburg in 2021 with a thesis on machine learning and copyright. From 2018 to 2023, she was a doctoral and post-doc researcher at the Karlsruhe Institute of Technolgy (KIT), Center for Applied Legal Studies (ZAR). Her research aims to bridge existing gaps between legal and technical analyses, focusing not only on copyright issues, but also on ethical issues, the explainability of AI models and computational creativity. In 2023, she joined JBB Rechtsanwälte, Berlin, as a lawyer for copyright, artificial intelligence and open source software licensing. She is also a manager at RAILS – Robotics & AI Law Society e.V.
Dorothea Iglezakis
(FoKUS – Kompetenzzentrum für Forschungsdaten)
Storage for Science (bwSFS-2): Integrating Research Data Management in Large-Scale Data in the Early Phases of Research
The main objective of the large storage device bwSFS-2 is to support the management of large-scale research data at all the stages of the research data lifecycle – from planning, generation, analysis and visualisation to publication and archiving. With bwSFS-2, metadata can be added to data even before it is generated and automatically supplemented during the research process. This metadata can then be used to find and share data and to assess its quality. Interfaces to data repositories such as DaRUS make it easy to publish data with the transfer of metadata. Only well-documented data will be preserved in the long term. Following the approval of funding by the university and the state, the system is currently being put out to tender. This talk will give an overview of the planned research data management functionalities of the system.
Dorothea Iglezakis heads the Competence Center for Research data management (FoKUS) at the University of Stuttgart. FoKUS supports all members of the University of Stuttgart and its partners in managing and publishing their research results in the form of data and software, and operates the data repository DaRUS. With a background in psychology and computer science, Dorothea is passionate about making valuable research data and research software discoverable, understandable and usable through structured metadata.
