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There have been widespread concerns about two aspects of the current explosion of predictive text models and other algorithm-based computational tools. On one hand, it is often insisted that Artificial Intelligence (AI) should be made “ethical”, and software providers take this seriously, attempting to make sure that their tools are not used to facilitate grossly criminal or widely condemned activities. On the other hand, it is also widely understood that those who create these tools have a responsibility to ensure that they are “unbiased”, as opposed to simply helping one side in political contestation define their perspectives as reality for all. Unfortunately, these two goals cannot be jointly satisfied, as there are perhaps no ethical prescriptions worthy of notice that are not contested by some. Here I investigate the current ethico-political sensibility of ChatGPT, demonstrating that the very attempt to give it an ethical keel has also given it a measurably left position in the political space and a concomitant position in social space among the privileged.
There have been widespread concerns about two aspects of the current explosion of predictive text models and other algorithm-based computational tools. On one hand, it is often insisted that Artificial Intelligence (AI) should be made “ethical”, and software providers take this seriously, attempting to make sure that their tools are not used to facilitate grossly criminal or widely condemned activities. On the other hand, it is also widely understood that those who create these tools have a responsibility to ensure that they are “unbiased”, as opposed to simply helping one side in political contestation define their perspectives as reality for all. Unfortunately, these two goals cannot be jointly satisfied, as there are perhaps no ethical prescriptions worthy of notice that are not contested by some. Here I investigate the current ethico-political sensibility of ChatGPT, demonstrating that the very attempt to give it an ethical keel has also given it a measurably left position in the political space and a concomitant position in social space among the privileged.
A. Aneesh, Global Labor: Algocratic modes of organization, Sociological Theory, vol. 27, no. 4, pp. 347–370, 2009.
K. Crawford, Can an algorithm be agnostic? Ten scenes from life in calculated publics, Science,Technology &Human Values, vol. 41, no. 1, pp. 77–92, 2016.
T. Zarsky, The trouble with algorithmic decisions: An analytic road map to examine efficiency and fairness in automated and opaque decision making, Science,Technology &Human Values, vol. 41, no. 1, pp. 118–132, 2016.
A. Miles, The (re)genesis of values: Examining the importance of values for action, American Sociological Review, vol. 80, no. 4, pp. 680–704, 2015.
J. L. Martin, and A. Lembo, On the other side of values, American Journal of Sociology, vol. 126, no. 1, pp. 52–98, 2020.
S. Vaisey, Welcome to the real world: Escaping the sociology of culture and cognition, Sociological Forum, vol. 36, no. S1, pp. 1297–1315, 2021.
S. H. Schwartz, Universals in the content and structure of values: Theory and empirical tests in 20 countries, Advances in Experimental Social Psychology, vol. 25, pp. 1–65, 1992.
J. Sonnett, Ambivalence, indifference, distinction: A comparative netfield analysis of implicit musical boundaries, Poetics, vol. 54, no. 1, pp. 38–53, 2016.
The idea for this exploration initially came from Austin Kozlowski, who also gave encouragement and incisive comments on this draft. I am grateful to Hyunku Kwon for aid with additional analyses, and to reviewers and the editors for comments that increased the cogency of this contribution.
The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).