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AI Experience Predicts Identification with Humankind.

Congyu Wang1, Kaiping Peng2

  • 1College of Investigation, People's Public Security University of China, Beijing 100038, China.

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|February 25, 2023
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Summary
This summary is machine-generated.

This research investigates how interacting with artificial intelligence influences how strongly individuals identify with the human species as a whole. The authors find that increased exposure to AI technologies consistently predicts a stronger sense of connection to humanity.

Keywords:
AI awarenessAI experienceAI exposurehuman identityidentification with humankindsocial identity theoryhuman identitysocial psychologydigital technologyoutgroup perception

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Area of Science:

  • Social psychology research within AI Experience studies
  • Cognitive science and human-computer interaction

Background:

No prior work had resolved how emerging technologies influence collective human self-perception. Social identity theory suggests that the presence of a distinct outgroup can increase the salience of an existing group. Artificial intelligence is increasingly viewed as a separate entity from biological humans. That uncertainty drove researchers to examine if machine intelligence functions as a psychological outgroup. Previous studies often focused on individual-level interactions rather than broad social identity shifts. This gap motivated an inquiry into whether technological exposure alters global self-categorization. The current investigation addresses this by linking machine interaction to human identity. Researchers aimed to determine if these digital encounters foster a stronger sense of shared global belonging.

Purpose Of The Study:

The primary aim of this research is to explore how identification with humankind correlates to being exposed to artificial intelligence. This investigation seeks to determine if machine intelligence acts as a psychological outgroup for humans. The authors hypothesize that interacting with digital systems makes humanity more salient to individuals. This study addresses the lack of empirical evidence regarding the social-psychological impact of emerging technologies. The researchers developed a specific questionnaire to measure the relationship between technological exposure and human self-categorization. They intended to clarify whether this effect is consistent across different cultural contexts. The team also sought to identify the psychological mediators that facilitate this shift in identity. By examining these factors, the study provides insight into how digital evolution influences human social structures.

Main Methods:

The researchers employed a series of cross-sectional surveys to evaluate psychological responses to digital technology. Their review approach involved developing a specialized instrument to quantify participant exposure to automated systems. This tool measured both the frequency and the nature of interactions with various digital platforms. The team conducted multiple studies, including a large-scale assessment with 981 participants to ensure statistical robustness. They applied mediation models to determine how specific perceptions of machines influence the primary outcome. Moderation analyses were performed to compare results across distinct cultural backgrounds. The investigators controlled for potential confounding variables like perceived threats and demographic characteristics. Data collection spanned several months to confirm the stability of the observed psychological patterns.

Main Results:

The strongest finding from the literature is that technological exposure consistently predicts a stronger sense of human identity. This positive correlation remained significant even when controlling for factors like age, gender, and perceived threats. In a sample of 981 participants, the link between these variables was clearly established. Mediation analysis revealed that perceived anthropomorphism and proximity account for this relationship. This specific model was successfully replicated six months after the initial data collection. Moderation analysis showed that the positive correlation exists for both Eastern and Western cultural groups. However, Western populations exhibited a significantly stronger amplification of this identity effect. These results demonstrate that digital interactions play a measurable role in shaping how individuals categorize themselves as members of the human species.

Conclusions:

The authors suggest that frequent machine interaction promotes a stronger sense of global human belonging. This synthesis implies that digital entities may serve as a psychological outgroup for people. The findings indicate that this relationship remains robust even when accounting for various demographic factors. The researchers propose that perceived anthropomorphism and proximity are key drivers of this identity shift. This review highlights that cultural background influences the strength of this psychological connection. Western populations show a more pronounced link between technological exposure and human identification compared to Eastern groups. The evidence supports the idea that digital experiences reshape how individuals categorize themselves within the broader human population. These implications suggest that the rise of machine intelligence may alter human social dynamics on a global scale.

The researchers propose that interacting with machines increases human identity by making humanity more salient. This occurs because AI functions as a distinct outgroup, which, according to social identity theory, strengthens the perception of one's own group membership.

The authors developed an AI Experience Questionnaire to quantify individual exposure levels. This tool assesses how frequently and deeply participants engage with various digital systems, allowing for a standardized measurement of technological familiarity across different study cohorts.

The researchers found that perceived anthropomorphism and perceived proximity are necessary to mediate the relationship. These two factors, which constitute AI awareness, act as the bridge between direct exposure and the resulting shift in human self-categorization.

The authors utilized survey data from large participant groups, including a sample of 981 individuals in Study 2. This quantitative approach allowed them to control for variables like AI threats, educational level, and international mobility.

The study measured the correlation between technological exposure and human identification across diverse cultural groups. They observed that while the relationship is positive for both Easterners and Westerners, the effect is significantly stronger in Western cultures.

The researchers propose that individuals with higher levels of technological exposure are more likely to view digital systems as a distinct outgroup. This categorization process subsequently increases the psychological importance of being human.