Getting to know what you can’t see: the "transformers" and the computer science exception

Journal title SOCIOLOGIA DELLA COMUNICAZIONE
Author/s Giuseppe Trautteur
Publishing Year 2019 Issue 2019/57
Language Italian Pages 11 P. 84-94 File size 752 KB
DOI 10.3280/SC2019-057006
DOI is like a bar code for intellectual property: to have more infomation click here

Below, you can see the article first page

If you want to buy this article in PDF format, you can do it, following the instructions to buy download credits

Article preview

FrancoAngeli is member of Publishers International Linking Association, Inc (PILA), a not-for-profit association which run the CrossRef service enabling links to and from online scholarly content.

Computer Science, because of methodological and factual problems, does not quite conform to the well-established scheme of an empirical science. Such an anomaly is contrasted with examples drawn from the development of some classical branches of knowledge such as microbiology, thermodynamics, and quan-tum mechanics. A problematic situation has recently surfaced in so-called Artifi-cial Intelligence: its enormous success in applications is not backed up by a theo-retical understanding of the attendant software. A new line of research, named Explainable Artificial Intelligence (XAI), has come into being and a brief sketch thereof is given.

Keywords: Computer science, Artificial Intelligence, Expainable Artificial Intelli-gence.

  1. Ardigò A., Mazzoli G., (a cura di) (1990). L’ipercomplessità tra socio-sistemica e cibernetiche, FrancoAngeli, Milano.
  2. Carnot Sadi N.L. (1824), Réflexions sur la puissance motrice du feu et sur les machines propres à développer cette puissance, Bachelier Libraire.
  3. Knuth D. E. (1968), The art of computer programming, Addison-Wesley, Boston.
  4. Trautteur G. (1990), Complessità e significato in Ardigò A., Mazzoli G. (a cura di). L’ipercomplessità tra socio-sistemica e cibernetiche, FrancoAngeli, Milano.
  5. Zellini P. (2016), La matematica degli dèi e gli algoritmi degli uomini, Adelphi, Milano.

Giuseppe Trautteur, Conoscere quello che non si vede: i "trasformatori" e l’eccezione informatica in "SOCIOLOGIA DELLA COMUNICAZIONE " 57/2019, pp 84-94, DOI: 10.3280/SC2019-057006