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"ChatGPT may produce inaccurate information about people, places, or facts," Open AI warns when using its chatbot. Being able to assess this unreliability is part of AI literacy, which recently became a future skill at university, understood as a precondition for future careers. The article offers an error typology, which is linked to AI's technical functionality. Twenty categories of flaws in AI information are assigned to three fields of causative factors: training data, generation process, and programming. Additionally, a paradoxical mechanism pattern in user psychology is outlined – automation bias vs. Eliza effect –, and Harry Frankfurt's concept of "bullshit" is introduced, which seems tailor-made for AI information. Some error types, especially those caused in the generation process itself, must be regarded as non-recoverable. The use of generative AI as an information and research tool therefore harbors a substantial and lasting risk potential – for competence development in higher education as well as for our knowledge-based society as a whole. [ABSTRACT FROM AUTHOR]

At an anniversary symposium celebrating the 20th anniversary of the open-access publication portal "German Medical Science," the future of scientific writing with artificial intelligence (AI) and ChatGPT was discussed. There are concerns regarding the increase in fake news and open questions regarding copyright. It was emphasized that AI can support selected scientific processes but also brings challenges. The article discusses the use of AI tools in scientific writing and highlights legal and ethical aspects. The DFG has already published guidelines for the use of AI, emphasizing transparency and traceability in the research process. The European Commission is planning a legislative framework to regulate AI. Publishers and publication platforms have different guidelines for the use of AI in scientific writing. [Extracted from the article]

The collective review "ChatGPT" by Stephen Wolfram provides a technical introduction to the functionality of the Chatbot ChatGPT. The book explains the basics of artificial intelligence and neural networks in a clear and entertaining manner. It shows how probability calculations can be applied to larger units to generate meaningful texts. The Large Language Model (LLM) of ChatGPT estimates probabilities in large ranges, which can lead to misinformation. The book is well-prepared didactically and conveys complex content in an understandable way. It also emphasizes that the training process of AI is a mysterious matter and cannot be fully understood. The text consists of two parts. The first part reports on the book "ChatGPT: Language Models and the Future of Knowledge" by Stephen Wolfram. The author explains that neural networks can handle complex problems better than simple ones, as a variety of variables opens up fewer dead ends. The text praises Wolfram's precise use of language but criticizes his claim that the laws of language and thinking could be discovered in the near future. The second part discusses the book "Cheating with ChatGPT" by Christian Rieck. The author criticizes Rieck's careless attitude towards the use of AI systems in writing and emphasizes the importance of ethical aspects and evaluating the output of such systems. It is also pointed out that many students have difficulties recognizing and questioning the quality of AI-generated texts. This is considered a societal problem that the author of the book does not recognize. The article criticizes the use of generative artificial intelligence (AI) in education. The author points out the Eliza effect, in which people attribute personality to a machine, and criticizes that the author of the book "Writing with AI" reinforces this effect by personifying the chatbot as "co-author KIara". The author argues that AI does not have its own thoughts and only reacts based on statistical data. Despite some useful tips for using generative AI, the article criticizes the populist and undidactic approach of the author and warns of the negative impact on the learners' competence development. [Extracted from the article]

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]

The article "Study Counseling and Artificial Intelligence A Look at Chat-GPT, Google Bard, and Co." discusses the application of Artificial Intelligence (AI) in study counseling. It introduces chatbots like ChatGPT and Google Bard, which are based on advanced technologies and language models and can create the impression of interacting with a human. The article describes various areas of application for AI in study counseling, such as workshop design, student marketing, and digital initial contact. It also discusses how the transition from AI interaction to human interaction can be shaped. The article emphasizes the need for study counseling services to engage with AI applications and potentially develop new competencies. [Extracted from the article]

Against the background of the increased attention to teaching qualitative methods and the progressing use of artificial intelligence (AI), this article dealswith the question of towhat extent the teaching of practices of reconstructive methods, especially the documentary method, can be supported using AI. The article begins with differentiating interpretive attitudes, orientations, and stances and the distinction between method knowledge and skills. The importance of research workshops as a site for teaching method skills is highlighted and cognitive science perspectives related to research workshops are discussed. After reconstructing the capabilities of current Large LanguageModels such as ChatGPT, the article first empirically describes the conventional workflow of qualitative research based on group discussions and then explores how AI integration into these conventional interpretive workflows might play out. The article concludes with a discussion of the potential and challenges of integrating AI into the teaching of reconstructive methods. [ABSTRACT FROM AUTHOR]

The article focuses on the practical applications of Artificial Intelligence (AI), specifically Large Language Models (LLMs) like ChatGPT, within the field of autoimmune diagnostics and treatment. It explores the current capabilities and potential of AI systems in interpreting complex patterns of autoantibodies and their clinical relevance.

Since the American company OpenAI released the pre-release version of its chatbot ChatGPT in November 2022, a lively discussion has arisen about the benefits and use of speech AI in our society. Since its release ChatGPT has already fundamentally changed the understanding of written texts and it will continue to do so. This has sparked a debate about the use and impact of language AI in higher education. The potential applications of ChatGPT in higher education range from assistance with teaching and learning, to automation of routine tasks, to conversion and programming work. In the paper, examples from the medical library sector will demonstrate the power but also the limitations of ChatGPT. [ABSTRACT FROM AUTHOR]

This paper is dedicated to examining the impact of artificial intelligence (AI)- based programs on the teaching of Chinese as a foreign language at schools. In particular, the software ChatGPT serves as an example of a new generation of AI applications, and it is discussed how it can influence the transfer and acquisition of knowledge in the context of learning processes at schools. Both the potential advantages and disadvantages of AI programs in the classroom are illuminated, along with considerations on how educators can ensure effective use. [ABSTRACT FROM AUTHOR]

In the May issue of the Library Service, various topics are addressed. Klaudia Charlotte Lenz, Deputy Head of the Library at the German Historical Museum Berlin, reports on the museum library as a possible place for the training of museum volunteers. Ursula Georgy, professor at the Institute of Information Science at TH Köln, discusses the possibilities of participation through "real laboratories" (English "Living Labs") in libraries. Torsten Arndt and Karsten Stemmerich address the question in a reader's letter of whether arsenic-containing pigments in library collections pose a health hazard. Monika Oertner, writing consultant and lecturer in academic writing at the University of Konstanz, points out the unreliability of generative artificial intelligence such as ChatGPT. [Extracted from the article]

This issue focuses on the topic of "Research-related services of (medical) libraries". These include services for research data management, systematic literature searches and reviews in the context of evidence-based medicine, and other services related to the publication of research results. The current issue also contains reflections on ChatGPT in the medical library focus, the Medical Librarian's Bibliography 2022 as well as reports from the Working Group on Evidence-Based Medicine within AGMB (AG-EBM) and "German MLA (AGMB) News". [ABSTRACT FROM AUTHOR]

The issue of the "Mitteilungen der DMV" contains various articles on mathematical topics. President Joachim Escher gives a greeting and there is also a letter to the editor. An article titled "The Beginning of the End for Scientific Publishers?" by Björn Brembs discusses the future of scientific publishers. Another article by Michael Bundschuh and Klaus Nökel examines mathematical optimization in public transportation planning. There are also articles on the communication of mathematics and artificial intelligence, the use of ChatGPT in mathematics, and career opportunities for mathematicians. [Extracted from the article]

The issue of the "Mitteilungen der DMV" (Announcements of the German Mathematical Society) from March 1, 2023, contains various articles on mathematical topics. One article by Jessica Wynne deals with the beauty of mathematical chalkboard images. The president of the DMV, Joachim Escher, gives a greeting. Other articles discuss topics such as the Tilings Encyclopedia, the development of ChatGPT in AI research, and mathematics in the digital society. There is also an article on the geometry of negotiation tables and a contribution on life and work in Germany from an external perspective. The position paper by DMV, GDM, and MNU on combating the shortage of mathematics teachers is also presented. The issue concludes with information about new members, appointments, promotions, and the imprint. [Extracted from the article]

The article focuses on the ELIZA effect, the computer science phenomenon of users attributing feelings and understanding to machines, and consequences of using artificial intelligence (AI) chatbots for human interaction, including in the sex industry. Topics include the history of the ELIZA effect, the use of AI chatbots like ChatGPT, and the potential impact on the sex industry and human relationships; and need for therapeutic practices to address the potential effects of AI companionship.