N.1 2023 - L'intelligenza artificiale per le biblioteche

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Bibliografia dell’articolo

Bibliografia

A

  • Abraham Tara H., (Physio)logical circuits: the intellectual origins of the McCulloch-Pitts neural networks, «Journal of the history of the behavioral sciences», 38 (2002), n. 1, p. 3-25, DOI: 10.1002/jhbs.1094.

B

  • Bandy Jonh - Vincent Nicholas, Addressing “documentation debt” in machine learning: a retrospective datasheet for BookCorpus, in Proceedings of the Neural Information Processing Systems, Track on Datasets and Benchmarks 1 (NeurIPS Datasets and Benchmarks 2021), edited by Joaquin Vanschoren, Serena Yeung, La Jolla (CA), Neural Information Processing Systems, 2021

  • Bender Emily M. [et al.], On the dangers of stochastic parrots: can language models be too big?, in Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT ‘21), New York, Association for Computing Machinery, 2021, p. 610-623, DOI: 10.1145/3442188.3445922.

  • Birhane Abeba - Prabhu Vinay Uday - Kahembwe Emmanuel, Multimodal datasets: misogyny, pornography, and malignant stereotypes, «arXiv», 5 October 2021, art. arXiv:2110.01963, DOI: 10.48550/arXiv.2110.01963.

  • Bostrom Nick, Superintelligence: paths, dangers, strategies, Oxford, Oxford University Press, 2014.

  • Bréal Michel, Essai de sémantique, Paris, Hachette, 1897 (trad. it. Saggio di semantica, Napoli, Liguori 1990).

  • Bubeck Sébastien [et al.], Sparks of artificial general intelligence: early experiments with GPT-4, «arXiv», 13 April 2023, art. arXiv:2303.12712v5, DOI: 10.48550/arXiv.2303.12712.

C

  • AI narratives: a history of imaginative thinking about intelligent machines, edited by Stephen Cave, Kanta Dihal, Sarah Dillon, Oxford, Oxford University Press 2020.

  • Chandra Akshay L., McCulloch-Pitts neuron - mankind’s first mathematical model of a biological neuron, «Medium», 24 July 2018.

G

  • Glassner Andrew, Deep learning: a visual approach, San Francisco, No Starch Press, 2021.

H

  • Hatzius Jan [et al.], The potentially large effects of artificial intelligence on economic growth, «Goldman Sachs Economic Research», 26 March 2023. 

  • Haykin Simon, Neural networks: a comprehensive foundation, 2. ed., Upper Saddle River (NJ), Prentice Hall, 1999.

  • Hoffmann Christian H., A philosophical view on singularity and strong AI, «AI & society», 2022, DOI: 10.1007/s00146-021-01327-5.

  • Hoffmann Christian H., The quest for a universal theory of intelligence: the mind, the machine, and singularity hypotheses, Berlin, De Gruyter, 2022.

J

  • Jurafsky Daniel - Martin James H., Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition, 3. ed. draft, 7 January 2023 (la seconda edizione del volume è stata pubblicata da Prentice Hall nel 2009).

K

  • Kurzweil Ray, The singularity is near: when humans transcend biology, London, Viking, 2005.

L

  • Lana Maurizio, The Agency of Artificial Intelligence Systems, «DigitCult - Scientific Journal on Digital Cultures», 7 (2022), n. 1, p. 67-78, DOI: 10.36158/97888929552576.

M

  • McCarthy [et al.], A proposal for the Dartmouth Summer Research Project on Artificial Intelligence, August 31, 1955, «AI magazine», 27 (2006), n. 4, p. 12-14, DOI: 10.1609/aimag.v27i4.1904.

  • McCulloch Warren S. - Pits Walter, A logical calculus of the ideas immanent in nervous activity, «The bulletin of mathematical biophysics», 5 (1943), n. 4, p. 115-133, DOI: 10.1007/BF02478259.

  • Minsky Marvin - Papert Seymour, Perceptrons: an introduction to computational geometry, Cambridge (MA), MIT Press, 1969.

  • Mitchell Alex, ‘Wild West’ ChatGPT has ‘fundamental flaw’ with left bias, «New York Post», 15 February 2023.

  • Morris Charles, Foundations of the Theory of signs, Chicago (IL), The University of Chicago Press, 1938 (trad. it. Fondamenti di una teoria dei segni, Torino, Paravia, 1955).

N

  • Russell Stuart - Norvig Peter, Artificial intelligence: a modern approach, 4. ed., Harlow, Pearson, 2021.

  • Numerico Teresa, Big data e algoritmi: prospettive critiche, Roma, Carocci, 2021.

O

  • OpenAI, GPT-4 technical report, 27 March 2023.

R

  • Roncaglia Gino, Computer che copiano: test di Turing, web corpora e filtraggio collaborativo, in Per il centenario di Alan Turing fondatore dell’informatica: Roma, 22 novembre 2012: convegno, Roma, Scienze e lettere, 2014, p. 189-201. 

S

  • Searle John R., Minds, brains, and programs, «Behavioral and brain sciences», 3 (1980), n. 3, p. 417-424 (trad. it. La mente è un programma?, «Le scienze», 259 (1990)).

  • Seth Anil, Being you: a new science of consciousness, London, Faber & Faber, 2022 (trad. it. Come il cervello crea la nostra coscienza, Milano, Raffaello Cortina, 2023).

  • Signorelli Andrea Daniele, ChatGPT vota PD?, «Wired», 25 febbraio 2023].

  • Silva Andrew - Tambwekar Pradyumna - Gombolay Matthew, Towards a comprehensive understanding and accurate evaluation of societal biases in pre-trained transformers, in The 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, edited by Kristina Toutanova et al., Stroudsburg (PA), Association for Computational Linguistics, 2021, p. 2383-2389, DOI: 10.18653/v1/2021.naacl-main.189.

T

  • Turing Alan M., Computing machinery and intelligence, «Mind», 59 (1950), n. 236, p. 433-460.

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