AI and Regulations

Author:

Dumouchel Paul1

Affiliation:

1. Département de Philosophie, Université du Québec à Montréal, 455 Boulevard René Lévesque, Montréal, QC H2L 4Y2, Canada

Abstract

This essay argues that the popular misrepresentation of the nature of AI has important consequences concerning how we view the need for regulations. Considering AI as something that exists in itself, rather than as a set of cognitive technologies whose characteristics—physical, cognitive, and systemic—are quite different from ours (and that, at times, differ widely among the technologies) leads to inefficient approaches to regulation. This paper aims at helping the practitioners of responsible AI to address the way in which the technical aspects of the tools they are developing and promoting directly have important social and political consequences.

Publisher

MDPI AG

Subject

Industrial and Manufacturing Engineering

Reference23 articles.

1. McCarthy, J., Minski, M.L., and Rochester, N. (2023, October 24). A Proposal for the Darthmouth Summer Research Project on Artificial Intelligence. Available online: https://raysolomonoff.com/dartmouth/boxa/dart564props.pdf.

2. Winter, A.I. (2023, October 24). Available online: https://en.wikipedia.org/wiki/AI_winter.

3. Vidal, F., and Ortega, F.A. (2017). Being Brains: Making the Cerebral Subject, Fordham University Press.

4. Bateson, G. (1972). Steps to an Ecology of Mind: Collected Essays in Anthropology, Psychiatry, Evolution, and Epistemology, University of Chicago Press.

5. Hildebrandt, M., and O’Hara, K. (2020). Life and the Law in the Era of Data Driven Agency, Edward Elgar.

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