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Moral judgment is sensitive to bargaining power.
J Exp Psychol Gen
October 2024
Department of Psychology, Harvard University.
For contractualist accounts of morality, actions are moral if they correspond to what rational or reasonable agents would agree to do, were they to negotiate explicitly. This, in turn, often depends on each party's bargaining power, which varies with each party's stakes in the potential agreement and available alternatives in case of disagreement. If there is an asymmetry, with one party enjoying higher bargaining power than another, this party can usually get a better deal, as often happens in real negotiations.
View Article and Find Full Text PDFAdolescents' evaluations of peer and teacher unfair treatment in science, technology, engineering, and mathematics classes: Expected interventions.
J Res Adolesc
December 2024
North Carolina State University, Raleigh, North Carolina, USA.
Article Synopsis
- This study investigates how adolescents perceive unfair treatment from teachers and peers in STEM classes, involving 577 ninth and tenth graders from public schools in the Southeastern U.S.
- Participants recognized unfair behavior as wrong, showing differences in their responses based on their gender and grade level, with a greater tendency to confront peers over teachers.
- The research emphasizes the need to address unfair treatment in STEM environments to promote inclusivity and help students persist in these fields.
AI-induced indifference: Unfair AI reduces prosociality.
Cognition
January 2025
Baylor University, Hankamer School of Business, One Bear Place #98001, Waco, TX 76798, United States of America. Electronic address:
The growing prevalence of artificial intelligence (AI) in our lives has brought the impact of AI-based decisions on human judgments to the forefront of academic scholarship and public debate. Despite growth in research on people's receptivity towards AI, little is known about how interacting with AI shapes subsequent interactions among people. We explore this question in the context of unfair decisions determined by AI versus humans and focus on the spillover effects of experiencing such decisions on the propensity to act prosocially.
View Article and Find Full Text PDFNot all punishment is equal: The effect of punishment severity on children's social evaluations.
Dev Psychol
September 2024
Department of Psychology, Columbia University.
Punishment is a key mechanism to regulate selfish behaviors and maintain cooperation in a society. However, children often show mixed evaluations about third-party punishment. The current work asked how punishment severity might shape children's social judgments.
View Article and Find Full Text PDFA novel approach for assessing fairness in deployed machine learning algorithms.
Sci Rep
August 2024
Discipline of Business Analytics, The University of Sydney Business School, The University of Sydney, Camperdown, NSW, 2006, Australia.
Fairness in machine learning (ML) emerges as a critical concern as AI systems increasingly influence diverse aspects of society, from healthcare decisions to legal judgments. Many studies show evidence of unfair ML outcomes. However, the current body of literature lacks a statistically validated approach that can evaluate the fairness of a deployed ML algorithm against a dataset.
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