Authors
Virgil W. Brower
Charles University, Prague
Abstract
One is occasionally reminded of Foucault's proclamation in a 1970 interview that "perhaps, one day this century will be known as Deleuzian." Less often is one compelled to update and restart with a supplementary counter-proclamation of the mathematician, David Lindley: "the twenty-first century would be a Bayesian era..." The verb tenses of both are conspicuous. // To critically attend to what is today often feared and demonized, but also revered, deployed, and commonly referred to as algorithm(s), one cannot avoid the mathematical and philosophical legacies of probability. // But attending to these probabilistic or Bayesian legacies must include an undeniable theological legacy in which they remain entangled. // We are not, today, discovering quirky theological metaphors in contemporary technics. It's the other way around. The technologies are mere metaphors of past theologies.
Keywords Artificial Intelligence  Machine-Learning  Bayesianism  Probability  Political Theology  Derrida  Religion  Algorithms  Dispositif  Apparatus  Technology & Religion
Categories (categorize this paper)
ISBN(s)
DOI 10.1515/jbmp-2021-0006
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy

 PhilArchive page | Other versions
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

Superintelligence: Paths, Dangers, Strategies.Nick Bostrom (ed.) - 2014 - Oxford University Press.
A Treatise on Probability.John Maynard Keynes - 1921 - London, England: Dover Publications.
Philosophical Writings of Peirce.Charles S. Peirce - 1940 - New York: Dover Publications.

View all 54 references / Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles

Philosophy and Machine Learning.Paul Thagard - 1990 - Canadian Journal of Philosophy 20 (2):261-76.
How AI Can Be Surprisingly Dangerous for the Philosophy of Mathematics— and of Science.Walter Carnielli - 2021 - Circumscribere: International Journal for the History of Science 27:1-12.
Inductive Learning by Machines.Stuart Russell - 1991 - Philosophical Studies 64 (October):37-64.
Inductive Logic, Verisimilitude, and Machine Learning.Ilkka Niiniluoto - 2005 - In Petr H’Ajek, Luis Vald’es-Villanueva & Dag Westerståhl (eds.), Logic, methodology and philosophy of science. London: College Publications. pp. 295/314.
Ethical Machines?Ariela Tubert - 2018 - Seattle University Law Review 41 (4).

Analytics

Added to PP index
2021-12-10

Total views
76 ( #150,264 of 2,498,557 )

Recent downloads (6 months)
76 ( #10,001 of 2,498,557 )

How can I increase my downloads?

Downloads

My notes