Relational AI and Consciousness Impressions: Ethical Frontiers for Designing Artificial Consciousness

Debates about whether large language models like GPT-4 could become conscious are intensifying. Rather than trying to build self-aware machines, a more practical and ethically sound approach is to design AI that convincingly simulates empathy and understanding to improve human–AI interaction. Drawing on phenomenology and theories of alterity, the argument is that relational simulation—creating AI that ethically engages through simulated otherness—offers greater social benefits than pursuing autonomous machine consciousness. Empirical findings on simulated empathy in LLMs are integrated with discussions of AI alignment and machine ethics. This framework defines consciousness impressions as human interpretations of AI behavior and provides a coherent pathway for AI development while probing the boundaries of mind and identity.

Study at a glance

Abstract

This article explores the intersection of artificial intelligence and consciousness through an integrated scientific and philosophical perspective. Advances in large language models (LLMs) and multimodal generative architectures, such as GPT-4, have intensified debates on whether artificial systems can transcend behavioral mimicry to approximate conscious awareness. Centered on the concept of imitation of the other, this study critically examines whether AI research should pursue the creation of self-aware systems or focus on developing simulations that generate convincing impressions of empathy and understanding to enhance human–AI interaction. Drawing on phenomenology and theories of alterity, the analysis argues that relational simulation—designing AI to ethically engage through simulated otherness—offers more sustainable and socially grounded benefits than the pursuit of autonomous machine consciousness. Empirical findings on simulated empathy in LLMs are integrated with current debates on AI alignment and machine ethics to define consciousness impressions as human interpretations of AI behavior. These results indicate that framing AI as a platform for relational simulation provides a practical and ethically coherent pathway for its development while serving as an experimental framework to probe the scientific and philosophical boundaries of mind, identity, and existence.