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This paper examines the problem of hallucinations in four scientific articles generated by ChatGPT-4 from various sub-fields of business administration. Specifically, the aim is to check whether the references generated by ChatGPT exist and, if this is the case, whether they are correct. A first surprising result is that nearly 40 Prozent of the 174 sources referenced in the articles, whose bibliographic details were listed after the individual main chapters, were not included in the specially for each article generated bibliography. A check of the bibliographic entries revealed that between 18 % and 100 % of the sources in the individual articles could not be found with Google Scholar. Furthermore, half of the sources found were incorrect to varying degrees (wrong document type, wrong journal name, wrong page reference). On average, only a quarter of the bibliographic references were completely correct. In Web of Science, only a quarter of the sources could be verified, but most of them were correct. The above results show that ChatGPT-4 – besides ethical and legal concerns – should definitely not be used for writing scientific papers, as a large proportion of the references generated by ChatGPT (valid at the time of writing this paper) does not exist or is partially incorrect. Furthermore, it can be assumed that some of the article texts generated are also "invented" or come from unreferenced sources (plagiarism). Texts generated by ChatGPT must therefore be subject to a comprehensive review, which may not always be easy. The authors therefore agree with the recommendation of Gimpel et al. (2023) that ChatGPT should primarily be used as a supplement to writing (e. g., spell-checking, creating summaries, supporting the generation of ideas). [ABSTRACT FROM AUTHOR]

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Copyright of Unterrichtswissenschaft (Springer Science & Business Media B.V.) is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Why do many social scientists use convoluted, bloated phrases that render their papers incomprehensible? This essay traces the urge to indulge in pompous ramblings by analysing the author's own undergraduate essays in political science. There, the impenetrable diction hides an inability to grasp the subject. Stylistic blunders, such as mixed metaphors and a recurring use of the passive, not only make for a bad read; they often distort the issue. Surprisingly, in this respect the author's early attempts at academic writing have a lot in common with more established works. But what is the link between social science and bad language? This essay examines the connection between awkward language and academic research conditions in the context of two recent developments: growing pressure to measure the quality of academic writing in quantitative terms, and a creeping elimination of unregimented reading experience. [ABSTRACT FROM AUTHOR]

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Die Öffnung ihrer digitalen Sammlungen für die Nachnutzung ist ein wichtiges strategisches Ziel der Österreichischen Nationalbibliothek. Der vorliegende Beitrag beschäftigt sich mit Fragen der Digitalisierung und der Öffnung digitaler Sammlungen und diskutiert, wie diese am besten als Daten für die Forschung zugänglich gemacht werden können. Ein Schwerpunkt liegt dabei auf historischen Zeitungen im Forschungskontext. Weiters wird auf das Konzept von „Collections as Data" und die Rolle von GLAM Labs eingegangen, die in jüngster Zeit in vielen Bibliotheken, darunter auch in der Österreichischen Nationalbibliothek, eingerichtet wurden. Opening its digital collections for reuse is an important strategic goal of the Austrian National Library. This paper deals with questions of digitisation and opening digital collections and discusses how these can best be made accessible as data for research. One focus is on historical newspapers in a research context. This paper also discusses the concept of "Collections as Data" and the role of GLAM Labs, which have recently been established in many libraries, including the Austrian National Library. [ABSTRACT FROM AUTHOR]

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Der digitale Wandel hat in den letzten Jahrzehnten die Geisteswissenschaften transformiert. Jede Art von Tätigkeit in Forschung und Lehre hat zumindest einen digitalen Anteil und sei es, dass dieser nur in der Nutzung digitaler Informationsinfrastrukturen für die Recherche besteht. In den historisch arbeitenden Wissenschaften mag der Beharrungswille größer sein als in anderen Disziplinen, aber auch hier haben sich in den vergangenen Jahren zwei Tendenzen herauskristallisiert: Erstens nimmt die Arbeit mit digitalen Surrogaten analoger Quellen zu – und wird noch mehr an Bedeutung gewinnen, je mehr die Fächer mit digital geborenen Quellen arbeiten. Zweitens werden die historischen Fächer selbst zu Produzenten von Forschungsdaten. Der Beitrag zeichnet diese Veränderungen nach und zeigt exemplarisch aktuelle Verfahren, Workflows und deren Voraussetzungen. Für die Gedächtniseinrichtungen argumentiert er, dass diese die sich abzeichnende Entwicklung nicht nur nicht ignorieren dürfen, sondern dass sie bereits jetzt ein wichtiger Teil des digitalen Umbruchs sind, der sich durch eine Konvergenz von Datenkompetenzen, aber auch von Verfahren und Modellierungen über die Grenzen der Fächer hinweg auszeichnet. Abschließend reflektiert der Beitrag, auf welche Weise Gedächtniseinrichtungen den Anforderungen dieser Veränderung und neuer Gruppen von Nutzenden gerecht werden können und welche Herausforderungen auch epistemischer Art in den bestehenden Sammlungen ruhen. The digital turn has shaped the humanities in recent decades. Every kind of activity in research and teaching now has at least a digital component, even if this only implies using digital information infrastructures for research. In the historical scholarship, the will to persevere time honed approaches may be greater than in other disciplines, yet even here two trends have emerged in recent years: firstly, scholarship based on datafied surrogates of analogue sources is increasing–and will become even more important the more scholars work with digitally born sources. Secondly, the historical disciplines themselves are becoming producers of research data. This paper traces the transformation, illustrating current techniques, workflows, and their prerequisites arguing that memory institutions should not only not ignore the development, but that they form already an important part of the digital transformation. For memory institutions the digital turn is characterised by a convergence of data competencies as well as procedures and models across the traditional boundaries of the disciplines. Finally, the article reflects on how memory institutions can meet the requirements of this transformation and new groups of users and what challenges, of an epistemic nature as well, are inherent to the existing collections. [ABSTRACT FROM AUTHOR]

Der Beitrag erörtert Spannungsfelder, die sich aus der fortwährenden digitalen Transformation der Gesellschaft und dem „ChatGPT-Schock" derzeit neu formieren. Anhand des Beispiels der Erschließung handschriftlicher Dokumente werden diese Felder analysiert und es wird versucht, die verschiedenen sich ändernden Rollen und Verständnisse auszuloten. Dies umfasst die Anteilseigner aus Bibliothek als traditionellem Informationsdienstleister, Plattformbetreiber als Mediatoren, Wissenschaft wie auch Gesellschaft, wobei sich die Technik zunehmend vom passiven Werkzeug zum handelnden Akteur wandelt. Aus diesen Überlegungen heraus wird eine Zukunftsperspektive einer prozess-orientierten Wissensschaffung abgeleitet, zu der alle genannten Akteure als „Co-Produzenten" beitragen. The paper discusses fields of tension that are currently reshaping themselves from the ongoing digital transformation of society and the "ChatGPT shock". Using the example of manuscript exploration, these fields are analysed, and an attempt is made to explore the various changing roles and understandings. This includes the stakeholders from library as traditional information service provider, platform operators as mediators, academia as well as society, where technology is increasingly changing from a passive tool to an acting participant. Based on these considerations, a future perspective of process-oriented knowledge creation is derived, to which all the actors contribute as "co-producers". [ABSTRACT FROM AUTHOR]

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The German Society for Information and Knowledge (DGI) invites its members to the regular general meeting on November 8, 2024. At the meeting, a new board will be elected and the annual budget plan will be discussed and approved. DGI is also organizing a theme day where the working groups AKTS and IuG will present their work results and seek exchange with business, science, and administration. Training and further education opportunities on the use of Artificial Intelligence (AI) will also be offered. DGI mourns the loss of long-time member Dr. Robert Fugmann, who passed away at the age of 97. The German Society for Information Science and Information Practice (DGI) offers various services related to legal aspects, knowledge management, and information literacy. In 2023, the focus of the Information Literacy and Education (IKB) working group was on the anniversary symposium of DGI. Discussions on topics such as fake news and information literacy took place. DGI also plans to update a position paper on the topic of Artificial Intelligence and Education. Events to promote information literacy were held, and collaboration with other organizations was maintained. The FaMI conference in 2024 will be hosted by the Joseph-DuMont Vocational College in Cologne. Approximately 30 vocational school teachers for media and information services met for professional exchange and further education. The program included topics such as project work and podcast production. Excursions to various institutions provided insights into the practice and possible work environments of the apprentices. It was emphasized that the field of information and documentation services needs to be strengthened nationwide. [Extracted from the article]

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Machine learning for design and analysis of steel frame halls The use of digital tools in design and construction processes increases efficiency, especially for recurring tasks and processes, such as the dimensioning of components or structures, which follow similar patterns. This paper develops an artificial intelligence (AI)‐based assistant for use in the pre‐design and design of steel frame halls as a prototypical co‐pilot. For this purpose, the necessary database of steel frame halls is first compiled from project archives of TRAGRAUM Partnerschaft Beratender Ingenieure mbB. This will be examined in the context of data analyses according to the decisive description parameters and similarities, so that finally suitable AI surrogate models for the prediction of the hall parameters are trained by means of regression analyses. Furthermore, an interface to the finite element program SOFiSTiK is implemented, which passes the predictions of the AI regarding the parameters of the steel frame halls to a parameterized input file and triggers the calculation and design. In the course of the calibration of the AI substitute models, in addition to the approximation qualities, possible safety margins to be provided are also discussed in the context of this article. This article shows that the prototypical co‐pilot for the preliminary design of steel frame halls could be successfully implemented. Furthermore the AI newly generated hall frames can be classified as stable with respect to the validation considerations. An outlook on future further developments of this approach as well as the transfer to other applications complete this paper. [ABSTRACT FROM AUTHOR]

Abstract Money laundering and financial crimes pose a significant threat to the integrity and stability of South Africa’s financial system. This paper explores the application of artificial intelligence (AI) to detect and prevent money laundering in South African banking institutions. Through the implementation of big data technologies and data processing analytics, AI can enhance the detection and prevention of money laundering activities in South Africa’s banking sector. AI can be harnessed to improve the detection of suspicious activities, enhance accuracy of financial intelligence and adapt to evolving money laundering techniques. The paper also examines the benefits and challenges of implementing AI as an anti-money laundering (AML) measure in the South African banking sector. These include the need for quality data, integration with existing systems, regulatory compliance and ethical considerations. The paper further highlights the potential of AI in transaction monitoring, customer due diligence, outcomes-based risk assessment, and improved detection of suspicious transactions by analysing how AI can enhance the effectiveness and efficiency of AML measures. The importance of coordination between banking institutions, regulatory authorities and law enforcement bodies is also highlighted as an important component of leveraging AI to combat money laundering and related financial crimes in South Africa’s banking sector.

Copyright of Info DaF: Informationen Deutsch als Fremdsprache is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Mit Blick auf das Jahr 2040 stellt der Beitrag die Auswirkungen der künstlichen Intelligenz (KI) auf die Bibliotheken dar. Mit der zunehmenden Fähigkeit von Algorithmen, Texte zu generieren, könnten Maschinen in der Lage sein, ganze Bibliotheken zu lesen und auf individuelle Bedürfnisse zugeschnittene Fragen in natürlicher Sprache zu beantworten. Dies könnte dazu führen, dass Informationskompetenz und der Rückgriff auf (veraltete) Bücher für die Nutzer gleichermaßen verzichtbar wird. Dieses Szenario stellt jedoch eine dystopische Zukunft für die institutionelle Informationsversorgung durch Bibliotheken dar; es wird davor gewarnt, zu pessimistisch zu sein. Vielmehr muss festgestellt werden, dass frühere Prognosen über die Auswirkungen der Technologie auf die Bibliotheken falsch waren. Dementsprechend sollte die Zukunft der Bibliotheken nicht in einem aussichtslosen Kampf gegen digitale Trends gesehen werden. Stattdessen sollten sich Bibliotheken an das sich verändernde Umfeld anpassen, indem sie ihre Rolle als Lern- und Wissensinstitutionen neu definieren, die Differenzierungswirkung der digitalen Transformation in den Blick nehmen und sich die Frage stellen, wie das Analoge sich im digitalen Umfeld verändert bzw. wie eine sachgerechte institutionelle Antwort auf diese Veränderung aussehen kann. Looking ahead to 2040, the paper outlines the impact of artificial intelligence (AI) on libraries. As algorithms become more capable of generating text, machines could be able to read entire libraries and answer questions tailored to individual needs in natural language. This could make information literacy and reliance on (outdated) books less important for users. However, this scenario represents a dystopian future for institutional information provision by libraries; it is important not to be too pessimistic. Rather, it should be noted that previous predictions about the impact of technology on libraries have been wrong. Accordingly, the future of libraries should not be seen as a hopeless battle against digital trends. Instead, libraries should adapt to the changing environment by redefining their role as institutions of learning and knowledge, looking at the differentiating effects of digital transformation, and asking themselves how the analogue is changing in the digital environment, or what an appropriate institutional response to this change might look like. [ABSTRACT FROM AUTHOR]

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Big data and artificial intelligence are buzzwords that everyone is talking about and yet always provide a touch of science fiction to the scenery. What is the status of these topics in anesthesia? Are the first robots already rolling through the corridors while doctors are getting bored as all the work has been done? Spoiler alert! We are still far away from achieving this. Initially, paper charts and analogue notes stand in the way of comprehensive digitization. Source systems need to be merged and data standardized, harmonized and validated. Therefore, the friendly android that is rolling towards us, waving and holding a freshly brewed cup of coffee in our thoughts will have to wait; however, a glimpse of the future is already evident in some clinics and the first promising developments are already showing what could be the standard tomorrow. Learning algorithms calculate the length of stay individually for each patient in the intensive care unit (ICU), reducing negative consequences such as readmission and mortality. The field of ultrasound technology for regional anesthesia and closed-loop anesthesia systems is also demonstrating the benefits of artificial intelligence (AI)-assisted technologies in practice. The efforts are diverse and ambitious but they repeatedly collide with privacy challenges and significant capital expenditure, which weigh heavily on an already financially strained healthcare system; however, anyone who listens carefully to the medical staff knows that robots are not what they would expect and the buzzwords big data and artificial intelligence might be less science fiction than initially assumed. [ABSTRACT FROM AUTHOR]

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Copyright of Journal for Religion in Education / Religionspädagogische Beiträge is the property of Arbeitsgemeinschaft Katholische Religionspadagogik & Katechetik (AKRK) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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Copyright of Zeitschrift für Bibliothekswesen und Bibliographie is the property of Vittorio Klostermann and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The generation of printable shellcode is an important computer security research area. The original idea of the printable shellcode generation was to write a binary, executable code in a way that the generated byte code contains only bytes that are represented by the English letters, numbers and punctuation characters. In this way unfortunately only a limited number of CPU instructions can be used. In the originally published paper a small decoder is written with instructions represented by printable characters and the shellcode is decoded on the stack to be executed later. This paper, however describes a proof of concept project, which converts the source code of a full assembly program or shellcode to a new source code, whose compiled binary code contains only printable characters. The paper also presents new, printable character implementation of some CPU instructions. [ABSTRACT FROM AUTHOR]

AI-based chat agents within educational settings present a promising pathway for bolstering collaborative learning (CL), especially in the sphere of English as a Foreign Language (EFL). This paper investigates the evolving role of chat agents based on Artificial Intelligence (AI) and Large Language Models (LLM), notably ChatGPT, in the landscape of CL specific to EFL. The primary aim is twofold: firstly, to discern the productive and unproductive applications of ChatGPT in a CL environment, and secondly, to investigate approaches for harnessing ChatGPT to amplify productive CL experiences in EFL contexts. We present a literature review addressing the main objective of this paper, i.e., the exploration of the productive and unproductive uses of ChatGPT for CL in the EFL context. The findings aim to provide insights into the capabilities and limitations of ChatGPT in fostering language skills, enhancing communication competence, and encouraging cooperative learning strategies among EFL learners. This present paper delineates approaches and possible pitfalls when employing AI chat agents in language learning, attempting to bridge the divide between AI technology and instructional design, aiming to facilitate a more informed and efficacious utilisation of AI within collaborative EFL learning environments.

Copyright of Beton- Und Stahlbetonbau is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Geomechanik und Tunnelbau is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article "General Educational Science and the Problematisation of Pedagogical Knowledge - in the Age of AI" discusses the debate about the use of ChatGPT in higher education and emphasizes the relevance of General Educational Science. It is shown how this is realized as a "problem" in current forms of educational research. The article examines the impact of ChatGPT on university teaching and examination and discusses the opportunities, risks, and limitations of using AI models at universities. It emphasizes that the use of AI in higher education influences pedagogical processes of self-reflection and changes the shaping of pedagogy. The functions of General Educational Science and its relevance for problematizing pedagogy are examined, and the effects of algorithmic rationality on higher education are discussed. [Extracted from the article]

This paper considers the transfer of approaches from the field of to the field of to be used in decision support systems. The most relevant of the developed approaches will be roughly introduced and it will be considered how these approaches can be applied in medical informatics in the context of decision support systems. Moreover, it will be considered which of the approaches are eligible in this context. Apart from placing the approaches in the context of decision support systems, the paper thereby also provides an example for the interplay of different fields of research.