P352 - INFORMATIK 2024 - Lock in or log out? Wie digitale Souveränität gelingt
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- KonferenzbeitragDoCH: Digitalization of Cultural Heritage. About the Workshop(INFORMATIK 2024, 2024) Class, Christina B.
- Konferenzbeitrag5. Workshop Künstliche Intelligenz in der Umweltinformatik(INFORMATIK 2024, 2024) Abecker, Andreas; Behrens, Grit; Naumann, Stefan; Willenbacher, MartinaIm Rahmen des INFORMATIK FESTIVAL 2024 der Gesellschaft für Informatik (GI) e.V. im Herbst 2024 in Wiesbaden findet die fünfte Auflage des Workshops KIU zur Nutzung von Methoden der Künstlichen Intelligenz in der Umweltinformatik statt. In der KIU-Workshopreihe werden seit 2020 anwendungsorientiert und interdisziplinär innovative Beiträge der KI für wichtige Fragen von Umweltschutz und Nachhaltigkeit vorgestellt und diskutiert. Auch der fünfte Workshop soll dabei helfen, eine deutschsprachige Wissenschafts- und Anwendungscommunity zu diesen Themen zu etablieren und konsolidieren, um langfristig die Kreativität und die Wirkung dieses wichtigen Aufgabenfelds zu unterstützen.
- KonferenzbeitragAnalyzing Historical Legal Textcorpora: German VET and CVET regulations(INFORMATIK 2024, 2024) Reiser, Thomas; Dörpinghaus, Jens; Steiner, PetraThe digitization of historical documents has gained particular interest in recent years. The majority of research endeavors aim at digitizing historical documents by extracting text from scanned images. A pipeline that transcribes scanned documents into fully structured texts was utilized to digitize over 900 German VET and CVET regulations. As a preliminary investigation, a basic corpus analysis was conducted to assess the usability of the digitized documents and the necessity for document digitization methods that can generate transcripts that maintain the logical text structure and hierarchy. This paper focuses on the processing of the transcripts created from German VET and CVET regulation images to demonstrate the advantages of fully structured text over plain OCR results and to illustrate that even simple analyses require more information for more comprehensive document understanding.
- KonferenzbeitragTogether Forward: Employee-driven Innovation as a Driver for Twin Transformation in Higher Education(INFORMATIK 2024, 2024) Leible, Stephan; Simic, Dejan; Gücük, Gian-Luca; von Brackel-Schmidt, Constantin; Schlager, SteffenTwin transformation (TT), which synergistically integrates digital and sustainability transformations, is increasingly acknowledged as essential for the future resilience of organizations. Despite its growing importance, the design and implementation of TT within higher education institutions (HEIs) remain underexplored. In this paper, we address this deficiency by developing a TT framework tailored for HEIs, utilizing employee-driven innovation (EDI) approaches to leverage the collective intelligence of employees and students from a value-adding perspective. Furthermore, we have created an iterative roadmap for the implementation of the TT framework. As a foundation for our work, we utilized qualitative data from a HEI as a case study, which included its existing digital transformation strategy. The findings of this paper provide theoretical contributions to the understanding of TT and an adaptable framework that can assist other HEIs in enhancing stakeholder engagement and fostering EDI initiatives to support their TT.
- KonferenzbeitragDie Ermittlung von Treibhausgas-Emissionen in der Cloud und Integration des Vorgehensmodells ins IT-Management(INFORMATIK 2024, 2024) Mohr, Michael; Hartard, Susanne; Naumann, StefanDas zunehmende Hosting von IT-Anwendungen bei großen Cloud-Anbietern ermöglicht es, mit Hilfe von herstellerspezifischen Werkzeugen die Treibhausemissionen solcher Anwendungen zu ermitteln. Aus der Interpretation dieser Daten für eine Anwendung aber auch für das IT-Anwendungs-Portfolio des Unternehmens lassen sich Handlungsnotwendigkeiten und Prioritäten zur karboneffizienten Optimierung von Anwendungen ableiten. Zur Umsetzung der Aktivitäten wird ein Vorgehensmodell vorgestellt. Zusätzlich müssen alle Aktivitäten in das IT-Management integriert werden, eine Verortung der Aktivitäten kann anhand der Referenzarchitektur IT4IT dargestellt werden. Themen wie Green Coding und Green Software Engineering werden somit in einem größeren Kontext einer IT-Landschaft von Unternehmen eingebettet.#
- KonferenzbeitragDigital Sovereignty with „Living Guidelines for Responsible Use of Generative AI“(INFORMATIK 2024, 2024) Mainzer, KlausOn 14 June 2023, a general AI regulation was adopted by the European Parliament on the proposal of the EU Commission. For the first time, rules on product safety and the protection of human rights were combined. The background for this legislative initiative is the fear of increasing unpredictability, opacity and lack of explainability of current machine learning, which is largely based on pattern recognition in large statistical data masses generated by modern computer capacities and data storage. However, we already know from elementary statistics that statistical correlations cannot provide causal explanations. Is AI becoming an inscrutable "black box" which threaten the sovereignty of human individuals? Therefore, a European research group has suggested „Living guidelines for responsible use of generative AI“ which concern the sovereignty of scientists, reviewers of scientific papers, scientific journals, and scientific organisations working with chatbots. These guidelines were supported and published last year by „Nature“ [Bo23]. The paper invited LLM developers and companies, researchers/reviewers/editors of scientific journals and publishers/research (funding) organisations to comment the criteria for an independent scientific auditing agency for LLMs. However, we should be cautious with our regulatory efforts so that we do not end up stifling Europe's innovation potential and falling behind in international competition.
- KonferenzbeitragCloud-Based Data Classification Framework for Cultural Heritage Conservation(INFORMATIK 2024, 2024) Rashid, Shaimaa; Qasha, RawaaNineveh is one of ancient cities of Iraq, ruled by various civilizations throughout the ages. As a result, Nineveh retains different types of tangible and intangible cultural heritage with different values that show its importance. This research contributes to the digital archiving process of the culture heritage of Nineveh by suggesting a cloud-based framework that classifies the text data obtained from various heterogonous data sources according to the type, values, civilization, and time to which they belong. We used four classical machine learning algorithms to train the classifier, such as Multinomial Naive Bayes, Support Vector Machines, Random Forest, and K Nearest Neighbors. We then chose the classifier with the highest accuracy to classify the obtained texts automatically. The finding showed that the K-Nearest Neighbors classifier is the best classifier to be adopted in the classification process.
- Konferenzbeitrag4. Workshop Nachhaltige Wertschöpfungssysteme(INFORMATIK 2024, 2024) Kammler, Friedemann; Christoph Gembarski, Paul; Schoormann, Thorsten; Hagen, Simon
- KonferenzbeitragDatenschutzrechtliches Risiko – eine Einschätzung betroffener Personen: Analyse des Unterschieds zwischen dem tatsächlichen und gefühlten Risiko bei der Verarbeitung personenbezogener Daten(INFORMATIK 2024, 2024) Stummer, SarahDer vorliegende Beitrag untersucht das datenschutzrechtliche Risiko bei der Nutzung von Suchmaschinen und Online-Nachrichtenportalen (1), sozialen Medien (2) und Treuekarten (3) und gleicht dieses mit dem subjektiven Empfinden betroffener Personen ab. Hierfür wurde eine Online-Umfrage mit 100 betroffenen Personen durchgeführt, im Rahmen derer die Teilnehmenden eine eigene Risikobewertung vornehmen sollten.
- KonferenzbeitragModule Parametrization By Rewriting: Theory underlying our tutorial “D2d — valide aber lesbar”(INFORMATIK 2024, 2024) Lepper, Markus; Trancón, BaltasarWith modular architectures of source text objects, which organize re-usable complex definitions in libraries of importable modules, a method of free rewriting can be more adequate than pre-wired parameters: Each module import can be accompanied with a set of rewriting rules, mapping references to expressions and thus adapting the imported definitions to the needs of the importer. Such a mechanism is described in this paper; it has been implemented in the d2d system applied to document types. It can easily be transferred to other formalisms for document types definition, and appears applicable also to other architectures with a 'glass box' view to modules. There are two fundamentally different use cases: rewriting (a) to algebraic semantics, e.g., for controlling a parsing process, and (b) reifying the rewritten results, for documentation, statistics, automated user dialogue, etc. The second case needs much more effort than the first. For both cases, an algorithm is presented, which is designed for optimized performance, and which reflects details arising from experiences in practical applications. The transfer to other languages is supported by a division of the second algorithm into a generic and a specific part.