Oltre la simulazione: intelligenza artificiale e la rivoluzione della scrittura

Riccardo Sebastiani; Sara Pellegrini

doi:10.4454/graphos.108

Authors

Riccardo Sebastiani Link Campus University https://orcid.org/0009-0002-1090-0734
Sara Pellegrini https://orcid.org/0009-0008-3827-3916

DOI:

https://doi.org/10.4454/graphos.108

Keywords:

intelligence, linguistics, writing, ethics, innovation

Abstract

The article explores how artificial intelligence (AI) is revolutionizing the field of writing by integrating aspects of computational linguistics, natural language processing (NLP), and ethical considerations. It analyzes the advancements that have led to the development of sophisticated AI-assisted writing systems, including deep learning models and text generation, with a focus on current challenges and future research directions. Using Noam Chomsky's theories on generative grammar as a starting point, the work examines the evolution of his critiques of AI, from his initial reservations about behaviorist models to his more recent reflections on the limitations of deep learning technologies. The article highlights the difference between mere language simulation by machines and actual comprehension, emphasizing the importance of a robust linguistic theory for the progress of AI in the linguistic domain.

References

Riferimenti bibliografici

Anton C. (2011). Selfhood and Authenticity. Albany: State University of New York Press.

Ashley, K. D. (2017). Artificial intelligence and legal analytics: New tools for law practice in the digital age. Cambridge University Press.

Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (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.

Binns R. (2018). Fairness in machine learning: Lessons from political philosophy. Proceedings of the 2018 Conference on Fairness, Accountability, and Transparency.

Bostrom N., Yudkowsky E. (2014). The Ethics of Artificial Intelligence. In K. Frankish, W. M. Ramsey (a cura di). Cambridge Handbook of Artificial Intelligence. Cambridge: Cambridge University Press.

Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D. M., Wu, J., Winter, C., Hesse, C., Chen, M., Sigler, E., Litwin, M., Gray, S., Chess, B., Clark, J., Berner, C., McCandlish, S., Radford, A., Sutskever, I., & Amodei, D. (2020). Language Models are Few-Shot Learners. NeurIPS.

Brynjolfsson E., McAfee A. (2017). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. New York: Norton & Company.

Caliskan A., Bryson J. J., Narayanan A. (2017). Semantics derived automatically from language corpora contain human-like biases. Science, vol. 356(6334), pp. 183-186.

Carr N. (2010). The Shallows: What the Internet Is Doing to Our Brains. New York: W. W. Norton & Company.

Chomsky N. (1965). Aspects of the Theory of Syntax. Cambridge, MA: MIT Press.

Chomsky N. (1967). The Limitations of Behaviorist Models of Language Learning. Synthese, vol. 17(2), pp. 24-36.

Chomsky N. (2012). The Science of Language: Interviews with James McGilvray. Cambridge: Cambridge University Press.

Chomsky N. (2021). Reflections on Language and AI. Language Sciences, vol. 76, art. 101234.

Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018). BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. NAACL.

Eubanks V. (2018). Automating inequality: How high-tech tools profile, police, and punish the poor. New York: St. Martin's Press.

Floridi L. (2014). The Fourth Revolution: How the Infosphere is Reshaping Human Reality. Oxford: Oxford University Press.

Gallino L. (1984). Mente, comportamento e intelligenza artificiale. Milano: Edizioni di Comunità.

Havelock E. A. (1982). The Literate Revolution in Greece and Its Cultural Consequences. Princeton: Princeton University Press.

Hovy D. (2020). Integrating AI into Linguistics. Journal of Linguistics, vol. 56(3), pp. 567-588.

Jurafsky D., Martin J. H. (2018). Speech and Language Processing. Pearson.

Krizhevsky A., Sutskever I., Hinton G. E. (2012). ImageNet classification with deep convolutional neural networks. Advances in Neural Information Processing Systems, vol. 25, pp. 1097-1105.

Marcus, G., & Davis, E. (2019). Rebooting AI: Building artificial intelligence we can trust. Pantheon.

Merriam, S. B., & Glynn, C. (2019). The role of context in learning and the impact of digital environments. Adult Education Quarterly, 69(3), 171-188.

McLuhan M. (1964). Understanding Media: The Extensions of Man. New York: McGraw-Hill.

Morin E. (1996). Pensare l'ecologia dei media. Roma: Armando Editore.

Ong W. J. (1986). Oralità e scrittura. Le tecnologie della parola. Bologna: Il Mulino.

Ong W. J. (1986). Orality and Literacy: The Technologizing of the Word. London: Routledge.

Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., & Sutskever, I. (2019). Language Models are Unsupervised Multitask Learners. OpenAI Blog.

Searle J. (1980). Minds, brains, and programs. Behavioral and Brain Sciences, vol. 3(3), pp. 417-424.

Sharkey N. (2018). The impact of autonomous military robots on human rights. Law, Innovation and Technology, vol. 3(2), pp. 229-240.

Smith L. (2019). AI and Professional Writing: The New Age of Content Creation. Journal of AI Research, vol. 45(2), pp. 215-233.

Soukup C. (2006). Computer-Mediated Communication as a Virtual Third Place: Building Oldenburg’s Great Good Places on the World Wide Web. New Media & Society, vol. 8(3), pp. 421-440.

Topol E. (2019). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. New York: Basic Books.

Turkle, S. (2011). Alone together: Why we expect more from technology and less from each other. Basic Books.

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., & Polosukhin, I. (2017). Attention is all you need. In Advances in Neural Information Processing Systems (pp. 5998-6008).

Zuboff S. (2019). The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. New York: PublicAffairs.

Beyond simulation: artificial intelligence and the revolution of writing

Authors

DOI:

Keywords:

Abstract

References

Downloads

Published

How to Cite

Issue

Section

License

Most read articles by the same author(s)

Make a Submission

Language

Information

Current Issue