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  • × type_ss:"a"
  • × year_i:[2020 TO 2030}
  1. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.08
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  2. Leighton, T.: ChatGPT und Künstliche Intelligenz : Utopie oder Dystopie? (2023) 0.05
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    Source
    https://www.heise.de/tp/features/ChatGPT-und-Kuenstliche-Intelligenz-Utopie-oder-Dystopie-7445181.html?view=print
  3. Schönbächler, E.; Strasser, T.; Himpsl-Gutermann, K.: Vom Chat zum Check : Informationskompetenz mit ChatGPT steigern (2023) 0.05
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    Abstract
    Der Beitrag greift den aktuellen Diskurs um die KI-Anwendung ChatGPT und deren Bedeutung in Schule und Hochschule auf. Dabei werden durch einen Überblick über verschiedene Assistenzsysteme, die auf Künstlicher Intelligenz beruhen, Grundlagen und Unterschiede herausgearbeitet. Der Bereich der Chatbots wird näher beleuchtet, die beiden grundlegenden Arten des regelbasierten Chatbots und des Machine Learning Bots werden anhand von anschaulichen Beispielen praxisnah erklärt. Schließlich wird herausgearbeitet, dass Informationskompetenz als Schlüsselkompetenz des 21. Jahrhunderts auch die wesentliche Grundlage dafür ist, im Bildungsbereich konstruktiv mit KI-Systemen wie ChatGPT umzugehen und die wesentlichen Funktionsmechanismen zu verstehen. Ein Unterrichtsentwurf zum Thema "Biene" schließt den Praxisbeitrag ab.
  4. ¬Der Student aus dem Computer (2023) 0.04
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    Abstract
    Kann gut zitieren, aber schlecht rechnen: Künstliche Intelligenz besteht Juraprüfung an US-Uni
    Date
    27. 1.2023 16:22:55
  5. Zilm, G.: "Kl ist ein glorifizierter Taschenrechner" (2023) 0.04
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    Abstract
    Künstliche Intelligenz zieht immer mehr in unseren Alltag ein. Dies macht vielen Angst. Sie fürchten, der Mensch könne die Kontrolle über Kl verlieren. Wie das verhindert werden kann, darüber macht sich das Ethik-Team am Deutschen Forschungszentrum für Künstliche Intelligenz Gedanken. Das DFKI hat mehrere Standorte, die Zentrale ist in Kaiserslautern.
    Date
    27. 1.2023 16:22:55
  6. Meng, K.; Ba, Z.; Ma, Y.; Li, G.: ¬A network coupling approach to detecting hierarchical linkages between science and technology (2024) 0.04
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    Abstract
    Detecting science-technology hierarchical linkages is beneficial for understanding deep interactions between science and technology (S&T). Previous studies have mainly focused on linear linkages between S&T but ignored their structural linkages. In this paper, we propose a network coupling approach to inspect hierarchical interactions of S&T by integrating their knowledge linkages and structural linkages. S&T knowledge networks are first enhanced with bidirectional encoder representation from transformers (BERT) knowledge alignment, and then their hierarchical structures are identified based on K-core decomposition. Hierarchical coupling preferences and strengths of the S&T networks over time are further calculated based on similarities of coupling nodes' degree distribution and similarities of coupling edges' weight distribution. Extensive experimental results indicate that our approach is feasible and robust in identifying the coupling hierarchy with superior performance compared to other isomorphism and dissimilarity algorithms. Our research extends the mindset of S&T linkage measurement by identifying patterns and paths of the interaction of S&T hierarchical knowledge.
  7. Sokolow, A.: Es menschelt in der KI-Welt (2023) 0.03
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    Abstract
    Für die junge Branche ist es ein Erdbeben: OpenAl-Chef Sam Altman, eine ihrer Galionsfiguren, verliert seinen Job. Mit ChatGPT haben OpenAl und Altman den Hype um Künstliche Intelligenz angestoßen.
    Date
    27. 1.2023 16:22:55
  8. Hartnett, K.: Sind Sprachmodelle bald die besseren Mathematiker? (2023) 0.03
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    Series
    Künstliche Intelligenz
  9. Xie, J.; Lu, H.; Kang, L.; Cheng, Y.: Citing criteria and its effects on researcher's intention to cite : a mixed-method study (2022) 0.03
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    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.8, S.1079-1091
  10. Janssen, J.-K.: ChatGPT-Klon läuft lokal auf jedem Rechner : Alpaca/LLaMA ausprobiert (2023) 0.03
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    Source
    https://www.heise.de/news/c-t-3003-ChatGPT-Klon-laeuft-lokal-auf-jedem-Rechner-Alpaca-LLaMA-ausprobiert-8004159.html?view=print
  11. Qiu, J.; Zuo, M.; Wang, J.; Cai, C.: Knowledge order in an online knowledge community : group heterogeneity and two paths mediated by group interaction (2021) 0.02
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    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.8, S.1075-1091
  12. Zweig, K.; Luttenberger, J.: KI ist keine Magie (2020) 0.02
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    Abstract
    Das Thema "Künstliche Intelligenz" (KI) wird immer wichtiger. Die Kaiserslauterer Informatikprofessorin Katharina Zweig ist Kl-Expertinund Autorin des Erklärbuchs "Ein Algorithmus hat kein Taktgefühl". Im großen RHEINPFALZ-Gespräch erläutert sie, wie Kl und Datenschutz zusammengehen können - durch dezentrales Lernen. Die Daten bleiben dadurch beim Nutzer. "KI wird insgesamt näher an uns heranrücken, darum müssen wir Betriebsräte, Schulelternbeiräte, Betroffene und Bürger befähigen, sich einmischen zu können",
  13. Gomez, J.; Allen, K.; Matney, M.; Awopetu, T.; Shafer, S.: Experimenting with a machine generated annotations pipeline (2020) 0.02
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  14. Babcock, K.; Lee, S.; Rajakumar, J.; Wagner, A.: Providing access to digital collections (2020) 0.02
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    Abstract
    The University of Toronto Libraries is currently reviewing technology to support its Collections U of T service. Collections U of T provides search and browse access to 375 digital collections (and over 203,000 digital objects) at the University of Toronto Libraries. Digital objects typically include special collections material from the university as well as faculty digital collections, all with unique metadata requirements. The service is currently supported by IIIF-enabled Islandora, with one Fedora back end and multiple Drupal sites per parent collection (see attached image). Like many institutions making use of Islandora, UTL is now confronted with Drupal 7 end of life and has begun to investigate a migration path forward. This article will summarise the Collections U of T functional requirements and lessons learned from our current technology stack. It will go on to outline our research to date for alternate solutions. The article will review both emerging micro-service solutions, as well as out-of-the-box platforms, to provide an overview of the digital collection technology landscape in 2019. Note that our research is focused on reviewing technology solutions for providing access to digital collections, as preservation services are offered through other services at the University of Toronto Libraries.
  15. Krüger, N.; Pianos, T.: Lernmaterialien für junge Forschende in den Wirtschaftswissenschaften als Open Educational Resources (OER) (2021) 0.02
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    Date
    22. 5.2021 12:43:05
  16. Tappenbeck, I.; Michel, A.; Wittich, A.; Werr, N.; Gäde, M.; Spree, U.; Gläser, C.; Griesbaum, J.; Mandl, T.; Keller-Loibl, K.; Stang, R.: Framework Informationskompetenz : Ein gemeinsamer Standard für die Qualifikation in den bibliotheks- und informationswissenschaftlichen Studiengängen in Deutschland (2022) 0.02
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  17. Al-Khatib, K.; Ghosa, T.; Hou, Y.; Waard, A. de; Freitag, D.: Argument mining for scholarly document processing : taking stock and looking ahead (2021) 0.02
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  18. Post, C.; Henry, T.; Nunnally, K.; Lanham, C.: ¬A colossal catalog adventure : representing Indie video games and game creators in library catalogs (2023) 0.02
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  19. Westphalen, A. von: Künstliche Intelligenz mit lebensgefährlichen Nebenwirkungen (2023) 0.02
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    Source
    https://www.telepolis.de/features/Kuenstliche-Intelligenz-mit-lebensgefaehrlichen-Nebenwirkungen-9180815.html?view=print
  20. Luyt, L.: Representation and the problem of bibliographic imagination on Wikipedia (2022) 0.02
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    Source
    Journal of documentation. 78(2022) no.5, S.1075-1091

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