Wijesundara, Tharaka and Rathnayake, Chamil (2024) Attachment to AI‑ generated self‑image in a twinning society: a perspective from empty self. Discover Artificial Intelligence, 4 (1):68. ISSN 2731-0809 (Online) (doi:10.1007/s44163-024-00174-9)

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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

Item Type:	Article
Uncontrolled Keywords:	AI-generated self-image, empty self, digital twining, attachment, AI
Subjects:	B Philosophy. Psychology. Religion > BF Psychology H Social Sciences > H Social Sciences (General) T Technology > T Technology (General)
Faculty / School / Research Centre / Research Group:	Greenwich Business School Greenwich Business School > School of Management and Marketing
Last Modified:	22 Oct 2024 14:58
URI:	http://gala.gre.ac.uk/id/eprint/48377

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