Volume 40, Issue 1
  • ISSN 0929-7332
  • E-ISSN: 1569-9919
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  1. Abid, Abubakar, Maheen Farooqi & James Zou
    2021 “Persistent Anti-Muslim Bias in Large Language Models”. Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES ’21), 298–306. 10.1145/3461702.3462624
    https://doi.org/10.1145/3461702.3462624 [Google Scholar]
  2. Baria, A. T., & Keith Cross
    2021 “The brain is a computer is a brain: neuroscience’s internal debate and the social significance of the Computational Metaphor”. arXiv preprint arXiv:2107.14042.
    [Google Scholar]
  3. Bender, Emily M.
    2011 “On achieving and evaluating language-independence in NLP”. Linguistic Issues in Language Technology61. 10.33011/lilt.v6i.1239
    https://doi.org/10.33011/lilt.v6i.1239 [Google Scholar]
  4. Bender, Emily M., Timnit Gebru, Angelina McMillan-Major & Shmargaret Shmitchell
    2021 “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?” Proceedings of the 2021 ACM conference on fairness, accountability, and transparency, 610–623. 10.1145/3442188.3445922
    https://doi.org/10.1145/3442188.3445922 [Google Scholar]
  5. Bender, Emily M., & Alexander Koller
    2020 “Climbing towards NLU: On meaning, form, and understanding in the age of data”. Proceedings of the 58th annual meeting of the association for computational linguistics, 5185–5198. 10.18653/v1/2020.acl‑main.463
    https://doi.org/10.18653/v1/2020.acl-main.463 [Google Scholar]
  6. Caliskan, Aylin, Joanna J. Bryson & Arvind Narayanan
    2017 “Semantics Derived Automatically from Language Corpora Contain Human-like Biases”. Science3561: 183–186. 10.1126/science.aal4230
    https://doi.org/10.1126/science.aal4230 [Google Scholar]
  7. Castelvecchi, Davide
    2016 “Can we open the black box of AI?”. Nature News, 538(7623), 20. 10.1038/538020a
    https://doi.org/10.1038/538020a [Google Scholar]
  8. Chrupała, Grzegorz
    2022 “Visually grounded models of spoken language: A survey of datasets, architectures and evaluation techniques”. Journal of Artificial Intelligence Research731: 673–707. 10.1613/jair.1.12967
    https://doi.org/10.1613/jair.1.12967 [Google Scholar]
  9. Cohn, Neil & Joost Schilperoord
    2022 “Reimagining language”. Cognitive Science46(7): 1–6, e13164. 10.1111/cogs.13174
  10. Contreras Kallens, Pablo, Ross Deans Kristensen-McLachlan & Morten H. Christiansen
    2023 “Large language models demonstrate the potential of statistical learning in language”. Cognitive Science47(3), e13256. 10.1111/cogs.13256
    https://doi.org/10.1111/cogs.13256 [Google Scholar]
  11. Corti, Kevin, & Alex Gillespie
    2016 “Co-constructing intersubjectivity with artificial conversational agents: People are more likely to initiate repairs of misunderstandings with agents represented as human”. Computers in Human Behavior581: 431–442. 10.1016/j.chb.2015.12.039
    https://doi.org/10.1016/j.chb.2015.12.039 [Google Scholar]
  12. Dingemanse, Mark, Andreas Liesenfeld, Marlou Rasenberg, Saul Albert, Felix K. Ameka, Abeba Birhane, Dimitris Bolis, Justine Cassell, Rebecca Clift, Elena Cuffari, Hanne De Jaegher, Catarina Dutilh Novaes, N. J. Enfield, Riccardo Fusaroli, Eleni Gregoromichelaki, Edwin Hutchins, Ivana Konvalinka, Damian Milton, Joanna Rączaszek-Leonardi, … Martina Wiltschko
    2023 “Beyond single-mindedness: A figure-ground reversal for the cognitive sciences”. Cognitive Science47(1): e13230. 10.1111/cogs.13230
    https://doi.org/10.1111/cogs.13230 [Google Scholar]
  13. Elman, Jeffrey L.
    2009 “On the meaning of words and dinosaur bones: Lexical knowledge without a lexicon”. Cognitive Science33(4): 547–582. 10.1111/j.1551‑6709.2009.01023.x
    https://doi.org/10.1111/j.1551-6709.2009.01023.x [Google Scholar]
  14. Ferrara, Lindsay, & Gabrielle Hodge
    2018 “Language as description, indication, and depiction”. Frontiers in Psychology91: 716. 10.3389/fpsyg.2018.00716
    https://doi.org/10.3389/fpsyg.2018.00716 [Google Scholar]
  15. Goodwin, Charles
    2000 “Action and embodiment within situated human interaction”. Journal of Pragmatics32(10): 1489–1522. 10.1016/S0378‑2166(99)00096‑X
    https://doi.org/10.1016/S0378-2166(99)00096-X [Google Scholar]
  16. Holm, Elizabeth A.
    2019 “In defense of the black box”. Science364(6435): 26–27. 10.1126/science.aax0162
    https://doi.org/10.1126/science.aax0162 [Google Scholar]
  17. Hu, Jennifer, Sammy Floyd, Olessia Jouravlev, Evelina Fedorenko, & Edward Gibson
    2022 “A fine-grained comparison of pragmatic language understanding in humans and language models”. arXiv:2212.06801. 10.18653/v1/2023.acl‑long.230
    https://doi.org/10.18653/v1/2023.acl-long.230 [Google Scholar]
  18. Jackendoff, Ray
    2002Foundations of Language: Brain, Meaning, Grammar, Evolution. Oxford: Oxford University Press. 10.1093/acprof:oso/9780198270126.001.0001
    https://doi.org/10.1093/acprof:oso/9780198270126.001.0001 [Google Scholar]
  19. Ji, Ziwei, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Yejin Bang, Wenliang Dai, Andrea Madotto, & Pascale Fung
    2023 “Survey of hallucination in natural language generation”. ACM Computing Surveys55(12): 1–38. 10.1145/3571730
    https://doi.org/10.1145/3571730 [Google Scholar]
  20. Landauer, Thomas K., & Susan T. Dumais
    1997 “A solution to Plato’s problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge”. Psychological Review104(2): 211–240. 10.1037/0033‑295X.104.2.211
    https://doi.org/10.1037/0033-295X.104.2.211 [Google Scholar]
  21. Mahowald, Kyle, Anna A. Ivanova, Idan A. Blank, Nancy Kanwisher, Joshua B. Tenenbaum, & Evelina Fedorenko
    2023 “Dissociating language and thought in large language models: a cognitive perspective”. arXiv preprint arXiv:2301.06627.
    [Google Scholar]
  22. Perniss, Pamela
    2018 “Why we should study multimodal language”. Frontiers in Psychology91: 1109. 10.3389/fpsyg.2018.01109
    https://doi.org/10.3389/fpsyg.2018.01109 [Google Scholar]
  23. Venkit, Pranav Narayanan, Sanjana Gautam, Ruchi Panchanadikar, Ting-Hao Huang, & Shomir Wilson
    2023 “Nationality Bias in Text Generation”. arXiv preprint arXiv:2302.02463.
    [Google Scholar]
  24. Verhagen, Arie
    2008 “Intersubjectivity and the architecture of the language system”. InThe shared mind: Perspectives on intersubjectivity, ed. byJordan Zlatev, Timothy P. Racine, Chris Sinha & Esa Itkonen, 307–331. Amsterdam/Philadelphia: John Benjamins. 10.1075/celcr.12.17ver
    https://doi.org/10.1075/celcr.12.17ver [Google Scholar]
  25. Wirtz, Bernd W., Jan C. Weyerer, & Carolin Geyer
    2019 “Artificial intelligence and the public sector – applications and challenges”. International Journal of Public Administration42(7), 596–615. 10.1080/01900692.2018.1498103
    https://doi.org/10.1080/01900692.2018.1498103 [Google Scholar]
  • Article Type: Research Article
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