EDITORIAL article
Front. Psychol.
Sec. Media Psychology
This article is part of the Research TopicReimagining roles and identity in the era of human - AI collaborationView all 10 articles
Reimagining roles and identity in the era of human - AI collaboration
Provisionally accepted- 1Yunnan University, Kunming, China
- 2University of Hawai'i at Manoa, Honolulu, United States
- 3University of International Business and Economics, Beijing, China
- 4Beijing University of Posts and Telecommunications, Beijing, China
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At its conceptual core, this rethinking of subjectivity invites deeper reflection on the nature of humanity and intelligence in the technological age. It is a dialogue that transcends disciplinary boundaries, drawing from sociology, psychology, management, communication studies, and computer science. Together, these fields seek to understand the co-evolution of human consciousness and artificial cognition. Three themes define this frontier: the psychological and interactive dynamics of human-AI collaboration; the repositioning of human uniqueness within intelligent ecosystems; and the ethical principles guiding digital identities in AI-mediated environments. In the end, these dimensions form the foundation for reimagining human subjectivity amid technological symbiosis.Empirical research illuminates this landscape, revealing how personality, emotion, and resource dynamics shape human-AI relations. Liu and Chen (2025) find that Generation Z's chatbot-assisted purchases are shaped by extraversion, agreeableness, and openness, along with chatbot expertise and customization-underscoring the need for designs attuned to human individuality rather than uniform assumptions. Yu and Chang (2025) show that students' digital photo hoarding arises from emotional attachment and fear of missing out, as AI tools increasingly serve as repositories of affect and memory. Han and Ren (2025) reveal that unequal access to AI can paradoxically enhance team productivity through complementary interaction, challenging the notion that equality in technology always yields optimal collaboration. Collectively, these studies expose the complex interplay of personality alignment, emotional mediation, and strategic asymmetry that transcends traditional human-human frameworks.Beyond interpersonal dynamics, AI is also redrawing the contours of roles and agency in academic and professional life. Huang and Zhao (2025) demonstrate that AI literacy enhances well-being by fulfilling needs for autonomy, competence, and relatedness, thereby improving work-life balance and job satisfaction. Zhao and Huang (2025) extend this view, showing that AI literacy stimulates pedagogical innovation through strengthened attitudes, norms, and perceived control, moderated by resources and autonomy. Jiang et al. (2025) reveal that AI-resistant skills, network centrality, and proactive personality foster collaboration, while digital identity reconstruction reorganizes participation and authority. Together, these insights portray AI not merely as an instrument of efficiency but as a transformative agent that redefines human creativity and purpose.Yet as AI permeates every stratum of life, it also exposes humanity to profound ethical and psychological dilemmas. Chen et al. (2025) propose governance models with adaptive trust-repair mechanisms-tailoring attribution and social support to failure contexts while using anthropomorphic cues to sustain resilience. Fu et al. ( 2025) call for frameworks that balance technological utility with emotional well-being, highlighting the fragility of end-of-life AI applications where algorithms intersect with grief and posthumous identity. Drawing on Foucauldian notions of subjectivation, they warn that AI mourning tools may reconstitute moral agency beyond death itself. Meanwhile, Thomas and Manalil (2025) underscore the urgency of algorithmic transparency to mitigate emotional coercion and cognitive dissonance. Their depiction of shadow banning as "digital silence" reveals its erosion of self-perception and autonomy, urging oversight of both visible and subtle algorithmic harms. Collectively, these perspectives affirm that effective governance must weave together trust, ethics, and psychological awareness to ensure that AI systems remain profoundly humane.Taken together, these insights illuminate a profound reciprocity: humans endow artificial intelligence with creativity, purpose, and moral direction, even as AI amplifies human potential and reshapes the horizons of thought and collaboration. The evolving discourse on roles and identities thus offers forward-looking pathways for understanding how humanity constructs, safeguards, and enacts subjectivity within an increasingly algorithmic world. As intelligent systems weave themselves ever more deeply into the fabric of life, the imperative becomes clear-to ensure that innovation never eclipses emotion, conscience, and dignity (Bankins et al., 2023). These reflections chart a transformative journey toward self-realization in the digital epoch and toward governance structures capable of reconciling technological power with ethical responsibility.Ultimately, this corpus of scholarship converges upon the global aspiration for "AI for social good." It reminds us that the true horizon of progress does not reside in the perfection of machines, but in the deepening of our humanity-the enduring capacity to endow intelligence, whether human or artificial, with compassion, justice, and dignity.
Keywords: roles, Identity, human - AI collaboration, artificial intelligence, AI for social good
Received: 31 Oct 2025; Accepted: 18 Nov 2025.
Copyright: © 2025 Chen, Wen, Qu and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Xi Chen, 13610491@qq.com
Ivan Wen, hsingwen@hawaii.edu
Qixing Qu, qqxing@uibe.edu.cn
Wenjing Chen, cwjbupt@bupt.edu.cn
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