Ethical dilemmas and cultural tensions: Socio-Psychological effects of AI image art — Value conflicts and adaptation mechanisms in the digital media ecosystem

This study employs environmental psychology and social psychology theories to comprehensively examine the ethical dilemmas and cultural tensions arising from artificial intelligence image art within digital media ecosystems, focusing on the socio-psychological effects and value conflict resolution mechanisms. The research reveals that the emergence of AI art creates "normative disruption environments" that systematically challenge traditional creative authority, authenticity perceptions, and cultural value systems, generating multifaceted ethical dilemmas including copyright attribution, moral responsibility delineation, and algorithmic transparency concerns. Simultaneously, significant tensions arise between technological democratization processes and established cultural authorities, manifesting as intergenerational conflicts, cross-cultural adaptation disparities, and value system reconstructions. At the individual level, AI art catalyzes profound psychological adaptation processes among creators, including "distributed creative identity" reconstruction, "algorithmic agency negotiation," and "aesthetic schema rebuilding," while audiences confront fundamental adjustments to their aesthetic cognitive frameworks. The study further unveils multilayered value conflict resolution mechanisms, encompassing individual "ethical pluralism development," community "cultural hybridization formation," and institutional "adaptive norm emergence," demonstrating human society's remarkable cultural resilience and adaptive capacity under technological disruption. The research indicates that successfully addressing AI art challenges requires developing new forms of "digital cultural literacy" that encompasses not only technical competencies but also deep psychological understanding of how algorithmic systems influence cognition, emotion, and social relationships, ultimately pointing toward a future of human-AI collaborative creation that must be grounded in sophisticated balance between technological capabilities and human psychological needs.