With the advancement of intelligent technologies, art is undergoing a process of posthumanization: artificial intelligence (AI) is integrated into artistic creation across diverse domains—from supporting human artists in their creative processes to autonomously producing complete artworks. At the same time, AI-generated works raise questions concerning authorship, creativity, and audience reception. This chapter aims to synthesize existing empirical findings and systematize current knowledge regarding the contextual cues that influence the evaluation of AI-generated artworks by lay audiences. Drawing on psychological models of aesthetic experience—particularly Tinio’s Mirror Model of Art—the study proposes a three-stage framework for understanding how laypeople evaluate artistic artifacts. The chapter reveals that evaluations are highly context-sensitive, with authorship information often biasing judgments against AI-generated works. However, such aesthetic biases can be mitigated through carefully designed curatorial and communication strategies. By integrating insights from experimental aesthetics and marketing psychology, this chapter contributes to a deeper understanding of the cognitive processing of AI-generated art and offers actionable recommendations for enhancing its public reception.