Essays ‘LOT Big Questions Prize’
Minds
Big questions for linguistics in the age of AI
Article outline
- Multimodality
- Interoperability
- Non-opacity
- Diversity
- Sociality
- LOT Essay Prize
- Acknowledgements
- Notes
-
References
References (25)
References
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.
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.
Bender, Emily M. 2011. “On achieving and evaluating language-independence in NLP”. Linguistic Issues in Language Technology 61.
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.
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.
Caliskan, Aylin, Joanna J. Bryson & Arvind Narayanan. 2017. “Semantics Derived Automatically from Language Corpora Contain Human-like Biases”. Science 3561: 183–186.
Castelvecchi, Davide. 2016. “Can we open the black box of AI?”. Nature News,
538
(7623), 20.
Chrupała, Grzegorz. 2022. “Visually grounded models of spoken language: A survey of datasets, architectures and evaluation techniques”. Journal of Artificial Intelligence Research 731: 673–707.
Cohn, Neil & Joost Schilperoord. 2022. “
Reimagining language”. Cognitive Science
46(7): 1–6, e13164.
Contreras Kallens, Pablo, Ross Deans Kristensen-McLachlan & Morten H. Christiansen. 2023. “Large language models demonstrate the potential of statistical learning in language”. Cognitive Science 47(3), e13256.
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 Behavior 581: 431–442.
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 Science 47(1): e13230.
Elman, Jeffrey L. 2009. “On the meaning of words and dinosaur bones: Lexical knowledge without a lexicon”. Cognitive Science 33(4): 547–582.
Ferrara, Lindsay, & Gabrielle Hodge. 2018. “Language as description, indication, and depiction”. Frontiers in Psychology 91: 716.
Goodwin, Charles. 2000. “Action and embodiment within situated human interaction”. Journal of Pragmatics 32(10): 1489–1522.
Holm, Elizabeth A. 2019. “In defense of the black box”. Science 364(6435): 26–27.
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.
Jackendoff, Ray. 2002. Foundations of Language: Brain, Meaning, Grammar, Evolution. Oxford: Oxford University Press.
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 Surveys 55(12): 1–38.
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 Review 104(2): 211–240.
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.
Perniss, Pamela. 2018. “Why we should study multimodal language”. Frontiers in Psychology 91: 1109.
Venkit, Pranav Narayanan, Sanjana Gautam, Ruchi Panchanadikar, Ting-Hao Huang, & Shomir Wilson. 2023. “Nationality Bias in Text Generation”. arXiv preprint arXiv:2302.02463.
Wirtz, Bernd W., Jan C. Weyerer, & Carolin Geyer. 2019. “Artificial intelligence and the public sector – applications and challenges”. International Journal of Public Administration 42(7), 596–615.
Cited by (1)
Cited by one other publication
Leufkens, Sterre & Marco Bril
2023.
Foreword.
Linguistics in the Netherlands 40
► pp. 1 ff.
This list is based on CrossRef data as of 4 july 2024. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers.
Any errors therein should be reported to them.