A 'Turing Test' for Self-Awareness

Cameron Witkowski

doi:10.20944/preprints202404.0359.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 3 April 2024 / Approved: 4 April 2024 / Online: 4 April 2024 (08:51:13 CEST)

In this paper, I propose a test for machine self-awareness inspired by the Turing test. While my test is plain and simple, it offers a much-needed alternative to ungrounded speculation while still capturing the essence of self-awareness. I discuss how to apply the test to Large Language Models and conduct experiments on GPT-3.5 that suggest it is not self-aware. I discuss the implications of machine self-awareness and relate it to questions about meaning and understanding. Finally, I present some next steps for studying self-awareness in machines.

Self-Awareness; Self-Consciousness; Turing; LLM; Meaning; Understanding

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

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A 'Turing Test' for Self-Awareness

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