The integration of diffusion models (DMs) into generative AI systems presents an approach with implications for ethical and moral AI development and our understanding of human-AI interaction. This study explores the intersection of generative AI, human values, and neuroscience, emphasizing the significance of value-awareness in AI systems. The methodology involves a behavioral experiment to evaluate the accuracy of DM-generated visual stimuli in capturing human values and related keywords. Results indicate promising match rates, marking stride in aligning AI systems with ethical and moral considerations. Additionally, the study introduces a criterion for selecting stimuli based on an “Aha” moment, setting the stage for an EEG experiment to explore the neural correlates associated with becoming aware of a value. This multidisciplinary study is a step toward the development of procedures to evaluate the effectiveness of Value-Aware AI systems in enhancing the perceived ethical and mora l agency.