Avoiding Culturalism in Technological Development: Revisiting Artificial Intelligence

&
Filozofia Nauki:1-11 (forthcoming)
  Copy   BIBTEX

Abstract

AI-developers face a challenge when seeking to use models that aim to be culturally sensitive. While we agree that culture is an emergent reality, there is always the risk of creating algorithms that treat culture as objective to account for various facets of the social realm. As a result, culture becomes prepackaged and autonomous. Nonetheless, culture is not only emergent but dialogically and socially invented. In this article, the point is to advance the discussion about culture by addressing a crucial philosophical issue and proposing some practical themes on how to avoid culturalism in AI development.

Categories

Keywords

Reprint years

DOI

10.14394/filnau.2023.0004

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,438

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

My notes

Similar books and articles

Black Boxes that Curtail Human Flourishing are no Longer Available for Use in Artificial Intelligence (AI) Design.John W. Murphy & Carlos Largacha-Martinez - 2024 - Filosofija. Sociologija 35 (1).
The Problematic Area of Philosophical Discourses on the Application of Artificial Intelligence Systems in Society.Vladimir A. Tsvyk, Irina V. Tsvyk & Tatiana P. Pavlova - 2023 - RUDN Journal of Philosophy 27 (4):928-939.
Do Chatbots Dream of Androids? Prospects for the Technological Development of Artificial Intelligence and Robotics.Albert R. Efimov - 2019 - Philosophical Sciences 62 (7):73-95.
Artificial intelligence: a “promising technology”.Hartmut Hirsch-Kreinsen - forthcoming - AI and Society:1-12.
Automation of Legal Reasoning: A Study on Artificial Intelligence and Law.Peter Wahlgren - 1992 - Kluwer Law and Taxation Publishers.
Artificial Neural Networks Predict Sustainable Development Goals Index.Seyed-Hadi Mirghaderi - 2023 - In Francesca Mazzi & Luciano Floridi (eds.), The Ethics of Artificial Intelligence for the Sustainable Development Goals. Springer Verlag. pp. 423-440.
Ethical Artificial Intelligence in Chemical Research and Development: A Dual Advantage for Sustainability.Erik Hermann, Gunter Hermann & Jean-Christophe Tremblay - 2021 - Science and Engineering Ethics 27 (4):1-16.
15 challenges for AI: or what AI (currently) can’t do.Thilo Hagendorff & Katharina Wezel - 2020 - AI and Society 35 (2):355-365.
Prospects for Overcoming the Contradictions of the Development of Artificial Intelligence.Dmitry Viktorovich Gluzdov - forthcoming - Philosophy and Culture (Russian Journal).
Artificial Intelligence and the Phenomenology of Flesh.James Mensch - 2006 - PhaenEx 1 (1):73-85.
Imitation or Efficiency? Aesthetics of Artificial Intelligence.Zheng Chen & Yu He - 2020 - Foundations of Science 26 (3):475-486.
Is intelligence an algorithm?Antonin Tuynman - 2018 - Washington, USA: IFF Books.
The Use of Artificial Intelligence (AI) in Qualitative Research for Theory Development.Prokopis A. Christou - 2023 - The Qualitative Report 28 (9):2739-2755.
Accelerating Artificial Intelligence: Exploring the Implications of Xenoaccelerationism and Accelerationism for AI and Machine Learning.Kaiola liu - 2023 - Dissertation, University of Hawaii
A Legal Identity for All Through Artificial Intelligence: Benefits and Drawbacks in Using AI Algorithms to Accomplish SDG 16.9.Mirko Forti - 2023 - In Francesca Mazzi & Luciano Floridi (eds.), The Ethics of Artificial Intelligence for the Sustainable Development Goals. Springer Verlag. pp. 253-267.

Analytics

Added to PP
2024-03-16

Downloads
10 (#1,176,324)

6 months
10 (#256,916)

Historical graph of downloads
How can I increase my downloads?

Author Profiles

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references