Tag Archives | Morality

Social Status and the Moral Acceptance of Artificial Intelligence

Patrick Schenk, Vanessa A. Müller, Luca Keiser

Sociological Science October 29, 2024
10.15195/v11.a36


The morality of artificial intelligence (AI) has become a contentious topic in academic and public debates. We argue that AI’s moral acceptance depends not only on its ability to accomplish a task in line with moral norms but also on the social status attributed to AI. Agent type (AI vs. computer program vs. human), gender, and organizational membership impact moral permissibility. In a factorial survey experiment, 578 participants rated the moral acceptability of agents performing a task (e.g., cancer diagnostics). We find that using AI is judged less morally acceptable than employing human agents. AI used in high-status organizations is judged more morally acceptable than in low-status organizations. No differences were found between computer programs and AI. Neither anthropomorphic nor gender framing had an effect. Thus, human agents in high-status organizations receive a moral surplus purely based on their structural position in a cultural status hierarchy regardless of their actual performance.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Patrick Schenk: Department of Sociology, University of Lucerne
E-mail: patrick.schenk@unilu.ch

Vanessa A. Müller: Department of Sociology, University of Lucerne
E-mail: vanessa.mueller2@unilu.ch

Luca Keiser: gfs.bern
E-mail: luca.keiser@gfsbern.ch

Acknowledgements: We thank Gabriel Abend, Michael Sauder, the editor of Sociological Science, and an anonymous reviewer for their valuable comments. Earlier versions of this article were presented at the Congress of the Academy of Sociology in Bern, Switzerland, and the Conference of the European Sociological Association in Porto, Portugal.

Funding: This study was funded by the Swiss National Science Foundation (grant number 100017_200750/1).

Supplemental Materials

Reproducibility Package: A reproduction package with data, codebook, and statistical code is available through the following link: https://doi.org/10.5281/zenodo.13850548.

  • Citation: Schenk, Patrick, Vanessa A. Müller, Luca Keiser. 2024. “Social Status and the Moral Acceptance of Artificial Intelligence.” Sociological Science 11: 989-1016.
  • Received: August 20, 2024
  • Accepted: September 29, 2024
  • Editors: Ari Adut, Stephen Vaisey
  • DOI: 10.15195/v11.a36


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Recreating a Plausible Future: Combining Cultural Repertoires in Unsettled Times

Shira Zilberstein, Michèle Lamont, Mari Sanchez

Sociological Science May 3, 2023
10.15195/v10.a11


This article analyzes how young adults draw on cultural resources to understand their identities, aspirations, and goals when taken-for-granted scripts of success are perceived as less desirable or achievable. Drawing on pragmatism, we propose the concept of “plausible futures” to capture how people rearrange elements within cultural repertoires as a practical and moral project to define their identities, aspirations, and goals. We draw on interviews with 80 college students concerning how they understand their future aspirations, including how they define personal success and broader social goals, when they face unpredictability in, and dissatisfaction with, achieving dominant meritocratic and socioeconomic ideals. We find that respondents combine elements from four cultural repertoires to work toward and envision their future: the American dream and neoliberalism, the therapeutic culture, ordinary cosmopolitanisms, and a “Gen Z” cohort narrative. The combining of elements from each repertoire enables a hybrid set of cultural tools that hold to tenets of hard work and self-reliance while accommodating the quest for greater recognition and inclusion. We show that respondents combine cultural elements based on their ability to connect elements to futures perceived as viable and valuable.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Shira Zilberstein: Department of Sociology, Harvard University
E-mail: szilberstein@fas.harvard.edu

Michèle Lamont: Department of Sociology, Harvard University
E-mail: mlamont@wjh.harvard.edu

Mari Sanchez: Department of Sociology, Harvard University
E-mail: mjsanchez@g.harvard.edu

Acknowledgments: Michèle Lamont acknowledges a residential fellowship at the Russell Sage Foundation (2019–20) and a Carnegie Fellowship (2019–21). The authors thank the other members of the research team: Laura Adler, Jonathan Cook, Elena Ayala-Hurtado, Nicole Letourneau, Derek Robey, and Priya Thelapurath. We also thank Lisa Albert and Kathleen Hoover for their technical assistance. This article benefited from comments from members of the American Sociological Association panel on Between Collapse and Utopia; the Culture workshop at New York University; the Race, Ethnicity, and Migration Workshop at Columbia University; and the Comparative Inequality and Inclusion Cluster, Culture and Social Analysis Workshop, and “Inside the Sausage Factory” workshop at Harvard University. We thank the following colleagues for their comments: Francesca Polletta, Manja Klemencic, Ann Mische, and Elena Ayala-Hurtado.

  • Citation: Zilberstein, Shira, Michèle Lamont, and Mari Sanchez. 2023. “Recreating a Plausible Future: Combining Cultural Repertoires in Unsettled Times.” Sociological Science 10: 348-373.
  • Received: August 27, 2022
  • Accepted: March 14, 2023
  • Editors: Ari Adut, Stephen Vaisey
  • DOI: 10.15195/v10.a11


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