Attachment to AI- generated self-image in a twinning society: a perspective from empty self

Abstract

Abstract The rapid expansion of artificial intelligence (AI) across various fields has significantly impacted how individuals construct and present their identities, particularly on social media. This brief communication explains the concept of digital twinning within the public sphere, where AI-generated images create virtual twins. We examine the phenomenon of attachment to AI-generated self-image, proposing that a perceived sense of emptiness predicts attachment to AI-generated self-image. Using the empty self-theory as a theoretical foundation, we argue that individuals experiencing feelings of emptiness are more likely to form deep emotional bonds with their AI-generated self-image. They may find solace by associating their sense of emptiness with AI-generated self-images, similar to idealised images in advertising. This attachment can manifest as either subjective, where users believe the AI-generated image truly represents them, or objective, where the image is seen as a possession. In future research, it would be valuable to investigate the various factors that contribute to an individual's inclination to form an attachment to AI-generated self-images. Deep exploration of the difference between objective and subjective attachment and quantifying this proposed relationship through empirical studies could provide valuable insights into the interplay between technology and human psychology.

Keywords

• AI-generated self-image
• Empty self
• Digital twining
• Attachment
• AI