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  • × year_i:[2010 TO 2020}
  1. Verwer, K.: Freiheit und Verantwortung bei Hans Jonas (2011) 0.51
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    Content
    Vgl.: http%3A%2F%2Fcreativechoice.org%2Fdoc%2FHansJonas.pdf&usg=AOvVaw1TM3teaYKgABL5H9yoIifA&opi=89978449.
  2. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.34
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    Source
    http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja
  3. Gödert, W.; Lepsky, K.: Informationelle Kompetenz : ein humanistischer Entwurf (2019) 0.30
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    Classification
    OKH (FH K)
    Footnote
    Rez. in: Philosophisch-ethische Rezensionen vom 09.11.2019 (Jürgen Czogalla), Unter: https://philosophisch-ethische-rezensionen.de/rezension/Goedert1.html. In: B.I.T. online 23(2020) H.3, S.345-347 (W. Sühl-Strohmenger) [Unter: https%3A%2F%2Fwww.b-i-t-online.de%2Fheft%2F2020-03-rezensionen.pdf&usg=AOvVaw0iY3f_zNcvEjeZ6inHVnOK]. In: Open Password Nr. 805 vom 14.08.2020 (H.-C. Hobohm) [Unter: https://www.password-online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzE0MywiOGI3NjZkZmNkZjQ1IiwwLDAsMTMxLDFd].
    GHBS
    OKH (FH K)
  4. Suchenwirth, L.: Sacherschliessung in Zeiten von Corona : neue Herausforderungen und Chancen (2019) 0.28
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    Footnote
    https%3A%2F%2Fjournals.univie.ac.at%2Findex.php%2Fvoebm%2Farticle%2Fdownload%2F5332%2F5271%2F&usg=AOvVaw2yQdFGHlmOwVls7ANCpTii.
  5. Shala, E.: ¬Die Autonomie des Menschen und der Maschine : gegenwärtige Definitionen von Autonomie zwischen philosophischem Hintergrund und technologischer Umsetzbarkeit (2014) 0.24
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    Abstract
    Werden Maschinen mit Begriffen beschrieben, die ursprünglich der Beschreibung des Menschen dienen, so liegt zunächst der Verdacht nahe, dass jene Maschinen spezifischmenschliche Fähigkeiten oder Eigenschaften besitzen. Für körperliche Fähigkeiten, die mechanisch nachgeahmt werden, hat sich in der Alltagssprache eine anthropomorphisierende Sprechweise bereits etabliert. So wird kaum in Frage gestellt, dass bestimmte Maschinen weben, backen, sich bewegen oder arbeiten können. Bei nichtkörperlichen Eigenschaften, etwa kognitiver, sozialer oder moralischer Art sieht dies jedoch anders aus. Dass mittlerweile intelligente und rechnende Maschinen im alltäglichen Sprachgebrauch Eingang gefunden haben, wäre jedoch undenkbar ohne den langjährigen Diskurs über Künstliche Intelligenz, welcher insbesondere die zweite Hälfte des vergangenen Jahrhunderts geprägt hat. In jüngster Zeit ist es der Autonomiebegriff, welcher zunehmend Verwendung zur Beschreibung neuer Technologien findet, wie etwa "autonome mobile Roboter" oder "autonome Systeme". Dem Begriff nach rekurriert die "Autonomie" jener Technologien auf eine bestimmte Art technologischen Fortschritts, die von der Fähigkeit zur Selbstgesetzgebung herrührt. Dies wirft aus philosophischer Sicht jedoch die Frage auf, wie die Selbstgesetzgebung in diesem Fall definiert ist, zumal sich der Autonomiebegriff in der Philosophie auf die politische oder moralische Selbstgesetzgebung von Menschen oder Menschengruppen beziehungsweise ihre Handlungen bezieht. Im Handbuch Robotik hingegen führt der Autor geradezu beiläufig die Bezeichnung "autonom" ein, indem er prognostiziert, dass "[.] autonome Roboter in Zukunft sogar einen Großteil der Altenbetreuung übernehmen werden."
    Footnote
    Vgl. unter: https://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&cad=rja&uact=8&ved=2ahUKEwizweHljdbcAhVS16QKHXcFD9QQFjABegQICRAB&url=https%3A%2F%2Fwww.researchgate.net%2Fpublication%2F271200105_Die_Autonomie_des_Menschen_und_der_Maschine_-_gegenwartige_Definitionen_von_Autonomie_zwischen_philosophischem_Hintergrund_und_technologischer_Umsetzbarkeit_Redigierte_Version_der_Magisterarbeit_Karls&usg=AOvVaw06orrdJmFF2xbCCp_hL26q.
  6. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.20
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  7. Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012) 0.19
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    Content
    A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Master of Science in Computer Science. Vgl. Unter: http://www.inf.ufrgs.br%2F~ceramisch%2Fdownload_files%2Fpublications%2F2009%2Fp01.pdf.
    Date
    10. 1.2013 19:22:47
  8. Xiong, C.: Knowledge based text representations for information retrieval (2016) 0.18
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    Content
    Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.
  9. Herb, U.; Beucke, D.: ¬Die Zukunft der Impact-Messung : Social Media, Nutzung und Zitate im World Wide Web (2013) 0.18
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    Content
    Vgl. unter: https://www.leibniz-science20.de%2Fforschung%2Fprojekte%2Faltmetrics-in-verschiedenen-wissenschaftsdisziplinen%2F&ei=2jTgVaaXGcK4Udj1qdgB&usg=AFQjCNFOPdONj4RKBDf9YDJOLuz3lkGYlg&sig2=5YI3KWIGxBmk5_kv0P_8iQ.
  10. Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010) 0.17
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    Content
    PhD Dissertation at International Doctorate School in Information and Communication Technology. Vgl.: https%3A%2F%2Fcore.ac.uk%2Fdownload%2Fpdf%2F150083013.pdf&usg=AOvVaw2n-qisNagpyT0lli_6QbAQ.
  11. Piros, A.: Az ETO-jelzetek automatikus interpretálásának és elemzésének kérdései (2018) 0.17
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    Content
    Vgl. auch: New automatic interpreter for complex UDC numbers. Unter: <https%3A%2F%2Fudcc.org%2Ffiles%2FAttilaPiros_EC_36-37_2014-2015.pdf&usg=AOvVaw3kc9CwDDCWP7aArpfjrs5b>
  12. Lenzen, M.: Künstliche Intelligenz : was sie kann & was uns erwartet (2018) 0.15
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    Abstract
    Künstliche Intelligenz (KI) steht für Maschinen, die können, was der Mensch kann: hören und sehen, sprechen, lernen, Probleme lösen. In manchem sind sie inzwischen nicht nur schneller, sondern auch besser als der Mensch. Wie funktionieren diese klugen Maschinen? Bedrohen sie uns, machen sie uns gar überflüssig? Die Journalistin und KI-Expertin Manuela Lenzen erklärt anschaulich, was Künstliche Intelligenz kann und was uns erwartet. Künstliche Intelligenz ist das neue Zauberwort des digitalen Kapitalismus. Intelligente Computersysteme stellen medizinische Diagnosen und geben Rechtsberatung. Sie managen den Aktienhandel und steuern bald unsere Autos. Sie malen, dichten, dolmetschen und komponieren. Immer klügere Roboter stehen an den Fließbändern, begrüßen uns im Hotel, führen uns durchs Museum oder braten Burger und schnipseln den Salat dazu. Doch neben die Utopie einer schönen neuen intelligenten Technikwelt sind längst Schreckbilder getreten: von künstlichen Intelligenzen, die uns auf Schritt und Tritt überwachen, die unsere Arbeitsplätze übernehmen und sich unserer Kontrolle entziehen. Manuela Lenzen zeigt, welche Hoffnungen und Befürchtungen realistisch sind und welche in die Science Fiction gehören. Sie beschreibt, wie ein gutes Leben mit der Künstlichen Intelligenz aussehen könnte - und dass wir von klugen Maschinen eine Menge über uns selbst lernen können.
    BK
    54.72 (Künstliche Intelligenz)
    Classification
    300 / 23sdnb
    ST 300
    54.72 (Künstliche Intelligenz)
    Date
    18. 6.2018 19:22:02
    DDC
    300 / 23sdnb
    Field
    Informatik
    RSWK
    Künstliche Intelligenz / Zukunft
    Künstliche Intelligenz / Robotik / Technikbewertung / Sozialer Wandel / Zukunft
    RVK
    ST 300
    Subject
    Künstliche Intelligenz / Zukunft
    Künstliche Intelligenz / Robotik / Technikbewertung / Sozialer Wandel / Zukunft
  13. Zweig, K.A.: ¬Ein Algorithmus hat kein Taktgefühl : wo Künstliche Intelligenz sich irrt, warum uns das betrifft und was wir dagegen tun können (2019) 0.10
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    Abstract
    Künstliche Intelligenz und Algorithmen erleichtern in Form von Navis, Rechtschreibprogrammen, Suchergänzungen oder Kaufempfehlungen schon lange unseren Alltag. Aber sie hinterlassen oft auch ein mulmiges Gefühl, weil wir nicht so recht verstehen, was da passiert. Katharina Zweig, IT-Expertin für Sozioinformatik und Informatikprofessorin, erklärt anhand einfacher Beispiele und Illustrationen, was Algorithmen eigentlich genau sind, wie sie funktionieren, welche völlig harmlos sind und welche uns tatsächlich Sorgen bereiten sollten. Damit wir wissen, worauf wir achten müssen, wo wir uns einmischen und Politik und Wirtschaft genauer auf die Finger schauen müssen, wenn wir diese Technik in menschlicher Hand behalten, ihre positiven Eigenschaften nutzen und die negativen kontrollieren wollen.
    Classification
    300
    Ddc
    300
    DDC
    300
    Field
    Informatik
    RSWK
    Künstliche Intelligenz / Algorithmus
    Künstliche Intelligenz / Informationsethik
    Subject
    Künstliche Intelligenz / Algorithmus
    Künstliche Intelligenz / Informationsethik
  14. Ramge, T.: Mensch und Maschine : wie Künstliche Intelligenz und Roboter unser Leben verändern (2018) 0.08
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    Classification
    ST 300
    Field
    Informatik
    RSWK
    Künstliche Intelligenz
    RVK
    ST 300
    Subject
    Künstliche Intelligenz
  15. Bostrom, N.: Superintelligenz : Szenarien einer kommenden Revolution (2016) 0.08
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    Abstract
    Was geschieht, wenn es uns eines Tages gelingt, eine Maschine zu entwickeln, die die menschliche Intelligenz auf so gut wie allen Gebieten übertrifft? Klar ist: Eine solche Superintelligenz wäre enorm mächtig und würde uns vor riesige Kontroll- und Steuerungsprobleme stellen. Mehr noch: Vermutlich würde die Zukunft der menschlichen Spezies in ihren Händen liegen, so wie heute die Zukunft der Gorillas von uns abhängt. Nick Bostrom nimmt uns mit auf eine faszinierende Reise in die Welt der Orakel und Genies, der Superrechner und Gehirnsimulationen, aber vor allem in die Labore dieser Welt, in denen derzeit fieberhaft an der Entwicklung einer künstlichen Intelligenz gearbeitet wird. Er skizziert mögliche Szenarien, wie die Geburt der Superintelligenz vonstattengehen könnte, und widmet sich ausführlich den Folgen dieser Revolution. Sie werden global sein und unser wirtschaftliches, soziales und politisches Leben tief greifend verändern. Wir müssen handeln, und zwar kollektiv, bevor der Geist aus der Flasche gelassen ist - also jetzt! Das ist die eminent politische Botschaft dieses so spannenden wie wichtigen Buches.
    BK
    54.72 (Künstliche Intelligenz)
    Classification
    ST 300
    54.72 (Künstliche Intelligenz)
    Field
    Informatik
    RSWK
    Künstliche Intelligenz
    RVK
    ST 300
    Subject
    Künstliche Intelligenz
  16. Tegmark, M.: Leben 3.0 : Mensch sein im Zeitalter Künstlicher Intelligenz (2017) 0.08
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    Abstract
    Künstliche Intelligenz ist unsere unausweichliche Zukunft. Wird sie uns ins Verderben stürzen oder zur Weiterentwicklung des Homo sapiens beitragen? Die Nobelpreis-Schmiede Massachusetts Institute of Technology ist der bedeutendste technologische Think Tank der USA. Dort arbeitet Professor Max Tegmark mit den weltweit führenden Entwicklern künstlicher Intelligenz zusammen, die ihm exklusive Einblicke in ihre Labors gewähren. Die Erkenntnisse, die er daraus zieht, sind atemberaubend und zutiefst verstörend zugleich. Neigt sich die Ära der Menschen dem Ende zu? Der Physikprofessor Max Tegmark zeigt anhand der neusten Forschung, was die Menschheit erwartet. Hier eine Auswahl möglicher Szenarien: - Eroberer: Künstliche Intelligenz übernimmt die Macht und entledigt sich der Menschheit mit Methoden, die wir noch nicht einmal verstehen. - Der versklavte Gott: Die Menschen bemächtigen sich einer superintelligenten künstlichen Intelligenz und nutzen sie, um Hochtechnologien herzustellen. - Umkehr: Der technologische Fortschritt wird radikal unterbunden und wir kehren zu einer prä-technologischen Gesellschaft im Stil der Amish zurück. - Selbstzerstörung: Superintelligenz wird nicht erreicht, weil sich die Menschheit vorher nuklear oder anders selbst vernichtet. - Egalitäres Utopia: Es gibt weder Superintelligenz noch Besitz, Menschen und kybernetische Organismen existieren friedlich nebeneinander. Max Tegmark bietet kluge und fundierte Zukunftsszenarien basierend auf seinen exklusiven Einblicken in die aktuelle Forschung zur künstlichen Intelligenz.
    BK
    54.72 (Künstliche Intelligenz)
    Classification
    300 / 23sdnb
    ST 300
    54.72 (Künstliche Intelligenz)
    DDC
    300 / 23sdnb
    Field
    Informatik
    Footnote
    Was bei der Lektüre des Buchs positiv auffällt: Der Autor bewertet diese ethischen Fragen nicht, sondern stellt sie offen in den Raum. Sein Ton ist sachlich, nüchtern und frei von jedem Alarmismus. Anders als der häufig apodiktisch argumentierende Kurzweil stellt Tegmark seine Zukunftsszenarien nicht als Unabänderlichkeit dar, sondern als gestaltbaren Möglichkeitsraum. Im jetzigen Stadium der Entwicklung könne der Mensch die Weichen noch stellen - er müsse sich nur entscheiden. Darin kann man auch eine versteckte Kritik an den Programmierern lesen, die sich häufig hinter der analytischen Formel des "Problemlösens" verstecken, aber keine nachhaltigen Gesellschaftsmodelle entwickeln. Die KI wird gesellschaftliche Hierarchien verändern, vielleicht sogar neu strukturieren - daran lässt Tegmark keinen Zweifel. Sein Buch ist eine luzide, wenn auch nicht immer erbauliche Vermessung. Einzig das Schlusskapitel über Bewusstseinstheorien und einige Anspielungen auf Konferenzteilnehmer, die wohl nur Insidern ein Begriff sind, wären verzichtbar gewesen. Ansonsten ist es ein überaus gelungenes Werk, das dem Leser als Kompass durch die Irrungen und Wirrungen künstlicher Intelligenz gereicht."
    RSWK
    Künstliche Intelligenz / Faktor Mensch / Technikbewertung / Gesellschaft / Lebensbedingungen / Zukunft
    Künstliche Intelligenz / Technologievorausschau / Technikfolgenabschätzung / Menschen / Gesellschaft / Zukunft
    RVK
    ST 300
    Subject
    Künstliche Intelligenz / Faktor Mensch / Technikbewertung / Gesellschaft / Lebensbedingungen / Zukunft
    Künstliche Intelligenz / Technologievorausschau / Technikfolgenabschätzung / Menschen / Gesellschaft / Zukunft
  17. Schnetker, M.F.J.: Transhumanistische Mythologie : Rechte Utopien einer technologischen Erlösung durch künstliche Intelligenz (2019) 0.07
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    Abstract
    Unter den neuen Machteliten, die das Silicon Valley hervorgebracht hat, macht neuerdings eine Sorge die Runde, die nichts Geringeres betrifft als die Zukunft der Menschheit: Was, wenn die Erforschung künstlicher Intelligenz am Ende eine künstliche Gottheit hervorbringt, die uns alle vernichtet? Während die einen vor dem Untergang warnen, prophezeien die anderen, dass uns die göttlichen Maschinen in ein digitales Himmelreich führen werden. Doch bei genauem Hinsehen entpuppt sich die Vision beider Seiten als Mythologie ohne Bezug zur Realität. Trotzdem werden unter dem Deckmantel des Kampfes gegen die digitale Apokalypse autoritäre Politikformen normalisiert, Ausbeutung vorangetrieben und Eugenik salonfähig gemacht. Das vorliegende Buch ist eine ideologiekritische Analyse der Mythologien um superintelligente KI. Dabei zeigt sich, dass die Grundlagen dieser Mythologien keineswegs so neu sind, wie ihr Gegenstand uns glauben machen könnte. Vielmehr wiederholen sich hier - in technologischem Gewand und scheinbar säkularisiert - alte Ideen der protestantischen Rechten. Noch drehen sie sich nur um die Zurichtung für die Erfordernisse des digitalisierten Kapitalismus und die Radikalisierung seines Glücksversprechens. Doch die Grundlagen für eine autoritäre Wende sind im Glauben an die Superintelligenz bereits angelegt. Es wird Zeit, die Ideologie des Transhumanismus genauer in den Blick zu nehmen, weil sie das Potenzial hat, sich zu einer Herrschaftsmythologie des digitalen Zeitalters zu entwickeln.
    Classification
    ST 300
    Field
    Informatik
    RSWK
    Künstliche Intelligenz / Transhumanismus / Autoritarismus / Ideologiekritik
    RVK
    ST 300
    Subject
    Künstliche Intelligenz / Transhumanismus / Autoritarismus / Ideologiekritik
  18. Rötzer, F.: Psychologen für die Künstliche Intelligenz (2018) 0.07
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    Abstract
    Künstliche Intelligenz kann lernen anhand von Erfahrungen und Vorgaben. Das Problem ist aber, dass sich maschinelles Lernen zwar in eine bestimmte Richtung steuern lässt, um bestimmte Probleme zu lösen, dass aber der Programmierer mitunter nicht mehr weiß, was in dem "künstlichen Gehirn" bzw. dem neuronalen Netzwerk vor sich geht, das mit zunehmender Komplexität und Lernerfahrung für den Menschen zur Black Box wird, wo man nur sehen kann, was an Daten einfließt und was herauskommt.
    Date
    22. 1.2018 11:08:27
    Field
    Informatik
    Source
    https://www.heise.de/tp/features/Psychologen-fuer-die-Kuenstliche-Intelligenz-3947256.html?view=print
  19. Kurzweil, R.: Menschheit 2.0 : die Singularität naht (2014) 0.06
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    BK
    54.72 Künstliche Intelligenz
    Classification
    54.72 Künstliche Intelligenz
    Date
    22. 1.2018 17:33:05
    Field
    Informatik
    RSWK
    Wissenschaftlich-technischer Fortschritt / Künstliche Intelligenz / Zukunft
    Subject
    Wissenschaftlich-technischer Fortschritt / Künstliche Intelligenz / Zukunft
  20. Springer, M.: KI -> ML (2017) 0.06
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    Abstract
    In der Informatik hat sich gerade ein Paradigmenwechsel von der künstlichen Intelligenz (KI) zum maschinellen Lernen (ML) vollzogen. Er wird unser Leben grundlegend ändern.
    Field
    Informatik

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