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Auflistung nach Schlagwort "generative AI"

1 - 5 von 5
  • Konferenzbeitrag
    A 3 phases model towards an industrialization of (generative) artificial intelligence developed for corporate environments
    (AKWI Jahrestagung 2024, 2024) Przewloka, Martin
    Companies face major challenges when it comes to developing a strategic approach related to artificial intelligence (AI). The massive wave of generative models that has just started is another indication that technology adaptation is associated with very large uncertainties. As a result, a large number of undirected activities in corporates occur in which so-called use cases, prototypes and minimum viable products are implemented. A targeted and strategic approach is hardly recognizable. The aim of the work carried out here was to develop a practical model that meets all parameters: moving forward quickly, learning from mistakes, developing unique selling points and thus competitive advantages ultimately resulting in an AI strategy. This is exactly what can be achieved in 3 steps, the efficiency phase, the competitive advantage phase and the transformation phase, all of which build on one another sequentially. The model presented here also makes a significant contribution to the development and adaptation of a responsible AI.
  • Konferenzbeitrag
    Digital Sovereignty with „Living Guidelines for Responsible Use of Generative AI“
    (INFORMATIK 2024, 2024) Mainzer, Klaus
    On 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.
  • Zeitschriftenartikel
    Hybrid work – a reconceptualisation and research agenda
    (i-com: Vol. 23, No. 1, 2024) Richter, Alexander; Richter, Shahper
    We begin this conceptual paper, by outlining three recent developments in the context of the changing the nature of work: (1) the increasing proportion of remote work, (2) the quickly expanding use of (generative) AI applications, and (3) the growing advancements in virtual world technologies and platforms. We argue that the synthesis of these developments will vastly impact traditional work models and practices. This transformation warrants a critical rethinking of the traditional understanding of hybrid work which, so far, has predominantly focused on the spectrum of in-person and remote work. We suggest adjusting this perspective and posit grand challenges and related research questions in order to do so.
  • Konferenzbeitrag
    PictographAI: Interactive Generation of Stylized Pictographs for Presentations
    (Mensch und Computer 2024 - Workshopband, 2024) Makarem, Sarah; Röddiger, Tobias; Riedel, Till; Beigl, Michael
    In today’s data-driven world, effective data visualization is crucial for communication. Recent studies have shown that meaningful and relevant visual embellishments and decorations can significantly enhance data visualization memorability and comprehension. Hence, we introduce PictographAI, a generative tool integrated into presentation software to transform traditional bar charts into Pictographic visualizations. Utilizing a multimodal AI pipeline, PictographAI processes text, images, and raw data from presentation slides to automatically generate contextually appropriate pictographs. Our pipeline uses an Large language model agent, a text-guided image-inpainting model, and algorithmic post-processing to make sense of the slide contents and generate pictographs. As users update their presentation slides, the AI pipeline automates the generation of new pictographs that represent the respective contents. In this work, we demonstrate the concept and working principle that motivates the system architecture and the generative AI pipeline on a bar chart generation use case that integrates into a presentation slide creation workflow.
  • Workshopbeitrag
    Urban-Engage: Pioneering Urban Planning with Citizen-Driven 15-Minute City Solutions We propose an innovative approach to empo
    (Mensch und Computer 2024 - Workshopband, 2024) Michahelles, Florian; Riener, Andreas; Grundel, Ida; Boztepe, Suzan; Trygg, Kristina; Israel, Habakuk; Pfleging, Bastian; Veenstra, Mettina; Wintersberger, Philipp
    We propose an innovative approach to empower urban planners by integrating comprehensive and qualified citizen input into the planning of the 15-minute city (15mC) through immersive digital technologies. Our methodology includes (1) enabling citizens to annotate their real environment using augmented reality, (2) generating urban space alternatives based on generative AI and citizen annotations, (3) allowing modifications to AI-generated alternatives, (4) providing immersive 3D simulation environments for experiencing these alternatives, and (5) facilitating better negotiation between citizens and political players to identify the optimal solution. This process aims to account for diverse stakeholder interests, ensuring inclusive contributions and an experiential understanding of potential urban adaptation.