Browsing by Subject "Artificial Intelligence"
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Item Restricted An Analysis of Potential Forms and Impacts of Artificial Intelligence in the Bottling Filling Lines(2022) Bachar Ibrahim; Mantel, Peter; Wagner, Evamaria; Faculty of Business Administration; Berlin International University of Applied SciencesAUTHOR-SUPPLIED ABSTRACT: Abstract: In the bottle filling lines, bottle defects are a source of concern for the producers and the customers, which could cause danger to the customer and cost lots of wasted money. Artificial Intelligence automatically detects the bottle defects in the bottle filling line by classifying them as either good or defective and makes the right decision. This study investigates the potential forms and impacts of implementing artificial intelligence in the bottling filling line. Semi-structured interviews were conducted with 12 participants from different countries, and who are working for various beverage companies. All the interviews were conducted online via Google Meet. Artificial intelligence has one main form in the bottling filling line, which is the automated visual inspection. Automated visual inspection is used in different locations and forms to inspect the mouth, bottom, wall, surface finish, volume, cap, sealing, and label of each bottle. The forms of automated visual inspection are considered forms of artificial intelligence because they work differently. Artificial intelligence has positive impacts on information, human, physical, and financial resources. Moreover, this thesis shows a strong correlation between artificial intelligence and the customer by improving the product's safety, optimizing the production capacity, and enhancing the competition and the production chain. Keywords: bottle filling lines, bottle defects, artificial intelligence, automated visual inspection, forms, impacts, interviews, online, Google Meet, safety, production capacity, competition, production chainchesPublication Restricted Navigating the Social Impacts of AI Integration: Misinformation, Isolation, and Social Change Among Young Adults(2025) Syed Abdul Haq Sahib, Jalila Farida; Hynes, Jennifer; Data Science and Business (BA); Berlin International University of Applied SciencesThis study explores how artificial intelligence (AI) is reshaping the social, emotional, and cognitive lives of young adults aged 18–24 across five countries: Germany, Turkey, India, the UAE, and Canada. Drawing on Baudrillard’s (1981) theory of hyperreality, it investigates four key questions related to social isolation, critical thinking, misinformation, and cross-cultural variation. A mixed-methods approach was employed, combining survey-based quantitative data with qualitative thematic analysis of open-ended responses (n=49). Findings reveal a trust–vigilance gap, with many participants expressing high trust in AI but limited confidence in detecting misinformation. Emotional disconnection was most pronounced among Turkish and non-binary respondents. Thematic analysis identified 81 subthemes, including cognitive shortcuts, identity simulation, and cultural differences in AI engagement. While risks such as emotional detachment and truth distortion were evident, some participants used AI critically and creatively. The study concludes that AI’s impact is not uniform but mediated by culture, awareness, and user intent. It calls for stronger media literacy, ethical AI design, and culturally adaptive policy to ensure AI supports, rather than replaces, human experience.Item Restricted The Influence of Generative Foundational (AI) Models on the Brand Design Process(2023) Krištof Revilák; Rieß , Henrik; Schroeder, Süheyla; Faculty of Architecture and Design; Berlin International University of Applied SciencesAI-GENERATED ABSTRACT: Abstract: The rapid advancements in Artificial Intelligence (AI) and Deep Learning (DL) have paved the way for the emergence of large language models (LLMs) and generative foundational AI models (GFMs). These technologies have profound implications for various industries, including the field of brand design. This thesis aims to explore the influence of GFMs on the brand design process, particularly focusing on text and image modalities. The study employs a multi-pronged research approach that includes a review of the latest technological advancements, case studies of branding projects that utilize GFMs, and interviews with brand designers. Given the fast-paced nature of this field and the limited scholarly publications available, this thesis also leverages theories and experiences from human interaction with earlier generative AI systems to provide context and understanding. Keywords: Artificial Intelligence, Deep Learning, Large Language Models, Generative Foundational AI Models, Brand Design, Text Modality, Image Modality, Creative Process, Human Interaction, Technology InfluencePublication Restricted The Role of AI in Business Process Management and a comparative study of AI adoption among Business Process Professionals.(2025) Vinecká Vanda; Koc Hasan; Data Science and Business (BA); Berlin International University of Applied SciencesAs Artificial Intelligence (AI) technologies rapidly evolve, business process professionals are increasingly expected to integrate AI into workflows and decision-making. This thesis explores how AI is adopted in Business Process Management (BPM), what tools are used, what benefits are observed, and which barriers are encountered. Using a mixed-methods approach, the study combines ten semi-structured interviews with a follow-up survey of 55 respondents from various industries. Thematic analysis of the interviews revealed five key themes: (1) AI use cases and tools (such as automation, decision support, and process modeling), (2) role-based perceptions of AI, (3) organizational factors influencing adoption, (4) experienced benefits, and (5) common challenges and limitations. Quantitative analysis tested seven hypotheses based on the qualitative themes. The results showed significant positive correlations between digital maturity, top-management support, and overall AI readiness with both perceived benefits and levels of AI adoption. The findings suggest that successful AI adoption in BPM depends less on structural factors like company size, and more on cultural readiness, leadership engagement, and the quality of underlying data and processes. This thesis highlights the importance of not only technical tools but also emotional and organizational dynamics in shaping digital transformation outcomes.