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  5. Etica & Politica / Ethics & Politics (2024) XXVI/2
  6. Do AI Systems Have Politics? Predictive Optimisation as a Move Away from Liberalism, the Rule of Law and Democracy
 
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Do AI Systems Have Politics? Predictive Optimisation as a Move Away from Liberalism, the Rule of Law and Democracy

Tafani, Daniela
2024
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ISSN
1825-5167
DOI
10.13137/1825-5167/36348
https://www.openstarts.units.it/handle/10077/36348
  • Article

Abstract
In predictive optimisation systems, machine learning is used to predict future outcomes of interest about individuals, and these predictions are used to make decisions about them. Despite being based on pseudoscience, not working and unfixably harmful, predictive optimisation systems are still used by private companies and by governments. As they are based on the assimilation of people to things, predictive optimisation systems have inherent political properties that cannot be altered by any technical design choice: the initial choice about whether or not to adopt them is therefore decisive, as Langdon Winner wrote about inherently political technologies. The adoption of predictive optimisation systems is incompatible with liberalism and the rule of law because it results in people not being recognised as self-determining subjects, not being equal before the law, not being able to predict which law will be applied to them, all being under surveillance as ‘suspects’ and being able or unable to exercise their rights in ways that depend not on their status as citizens, but on their contingent economic, social, emotional, health or religious status. Under the rule of law, these systems should simply be banned.
Journal
Etica & Politica / Ethics & Politics 
Subjects
  • Ethics and politics o...

  • technological determi...

  • technological solutio...

  • technological somnam...

  • predictive optimisati...

  • AI functionality fall...

Source
Daniela Tafani, "Do AI Systems Have Politics? Predictive Optimisation as a Move Away from Liberalism, the Rule of Law and Democracy" in: "Etica & Politica / Ethics & Politics (2024) XXVI/2", EUT Edizioni Università di Trieste, Trieste, 2024, pp. 95-111
Languages
en
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Licence
http://creativecommons.org/licenses/by-nc-nd/4.0/
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