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People judge others more harshly after talking to bots.
Tey, Kian Siong; Mazar, Asaf; Tomaino, Geoff; Duckworth, Angela L; Ungar, Lyle H.
Afiliação
  • Tey KS; Department of Management and Strategy, University of Hong Kong, Hong Kong, Hong Kong.
  • Mazar A; Wharton School of Business, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Tomaino G; Marketing Department, University of Florida, Gainesville, FL 32611, USA.
  • Duckworth AL; Department of Psychology and Wharton School of Business, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Ungar LH; Computer and Information Science Department, University of Pennsylvania, Philadelphia, PA 19104, USA.
PNAS Nexus ; 3(9): pgae397, 2024 Sep.
Article em En | MEDLINE | ID: mdl-39319325
ABSTRACT
People now commonly interact with Artificial Intelligence (AI) agents. How do these interactions shape how humans perceive each other? In two preregistered studies (total N = 1,261), we show that people evaluate other humans more harshly after interacting with an AI (compared with an unrelated purported human). In Study 1, participants who worked on a creative task with AIs (versus purported humans) subsequently rated another purported human's work more negatively. Study 2 replicated this effect and demonstrated that the results hold even when participants believed their evaluation would not be shared with the purported human. Exploratory analyses of participants' conversations show that prior to their human evaluations they were more demanding, more instrumental and displayed less positive affect towards AIs (versus purported humans). These findings point to a potentially worrisome side effect of the exponential rise in human-AI interactions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: PNAS Nexus Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Hong Kong País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: PNAS Nexus Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Hong Kong País de publicação: Reino Unido