The spread of artificial intelligence (AI) technologies in ever-widening domains (e.g., virtual assistants) increases the chances of daily interactions between humans and AI. But can non-human agents influence human beings and perhaps even surpass the power of the influence of another human being? This research investigated whether people faced with different tasks (objective vs. subjective) could be more influenced by the information provided by another human being or an AI. We expected greater AI (vs. other humans) influence in objective tasks (i.e., based on a count and only one possible correct answer). By contrast, we expected greater human (vs. AI) influence in subjective tasks (based on attributing meaning to evocative images). In Study 1, participants (N = 156) completed a series of trials of an objective task to provide numerical estimates of the number of white dots pictured on black backgrounds. Results showed that participants conformed more with the AI's responses than the human ones. In Study 2, participants (N = 102) in a series of subjective tasks observed evocative images associated with two concepts ostensibly provided, again, by an AI or a human. Then, they rated how each concept described the images appropriately. Unlike the objective task, in the subjective one, participants conformed more with the human than the AI's responses. Overall, our findings show that under some circumstances, AI can influence people above and beyond the influence of other humans, offering new insights into social influence processes in the digital era.

Riva, P., Aureli, N., & Silvestrini, F. (2022). Social influences in the digital era: When do people conform more to a human being or an artificial intelligence?. ACTA PSYCHOLOGICA, 229(September 2022) [10.1016/j.actpsy.2022.103681].

Social influences in the digital era: When do people conform more to a human being or an artificial intelligence?

Riva, Paolo
Primo
;
Aureli, Nicolas
Secondo
;
2022

Abstract

The spread of artificial intelligence (AI) technologies in ever-widening domains (e.g., virtual assistants) increases the chances of daily interactions between humans and AI. But can non-human agents influence human beings and perhaps even surpass the power of the influence of another human being? This research investigated whether people faced with different tasks (objective vs. subjective) could be more influenced by the information provided by another human being or an AI. We expected greater AI (vs. other humans) influence in objective tasks (i.e., based on a count and only one possible correct answer). By contrast, we expected greater human (vs. AI) influence in subjective tasks (based on attributing meaning to evocative images). In Study 1, participants (N = 156) completed a series of trials of an objective task to provide numerical estimates of the number of white dots pictured on black backgrounds. Results showed that participants conformed more with the AI's responses than the human ones. In Study 2, participants (N = 102) in a series of subjective tasks observed evocative images associated with two concepts ostensibly provided, again, by an AI or a human. Then, they rated how each concept described the images appropriately. Unlike the objective task, in the subjective one, participants conformed more with the human than the AI's responses. Overall, our findings show that under some circumstances, AI can influence people above and beyond the influence of other humans, offering new insights into social influence processes in the digital era.
Articolo in rivista - Articolo scientifico
Scientifica
Artificial intelligence (AI); Conformity; Cyberpsychology; Informational influence; Non-human agent; Social influence;
English
Riva, P., Aureli, N., & Silvestrini, F. (2022). Social influences in the digital era: When do people conform more to a human being or an artificial intelligence?. ACTA PSYCHOLOGICA, 229(September 2022) [10.1016/j.actpsy.2022.103681].
Riva, P; Aureli, N; Silvestrini, F
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10281/388188
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