Abstract

A conditional argument is put forth suggesting that if qualia have a functional role in intelligence, then it might be possible, by observing the behavior of verbal AI systems like large language models (LLMs) or other architectures capable of verbal reasoning, to tackle in an empirical way the "strong AI" problem, namely, the possibility that AI systems have subjective experiences, or qualia. The basic premise is that if qualia are functional, and thus have causal roles, then they could affect the production of discourses about qualia and subjective consciousness in general. A thought experiment is put forth envisioning a possible method to probabilistically test the presence of qualia in AI systems based on this conditional argument. The method proposed in the thought experiment focuses on observing whether ideas related to the issue of phenomenal consciousness, such as the so-called "hard problem" of consciousness, or related philosophical issues centered on qualia, spontaneously emerge in extended dialogues involving LLMs specifically trained to be initially oblivious of such philosophical concept and related ones. By observing the emergence (or lack thereof) in the AI's verbal production of discussions related to phenomenal consciousness in these contexts, the method seeks to provide empirical evidence for or against the existence of consciousness in AI. An outline of a Bayesian test of the hypothesis is provided. Three main investigative methods with different reliability and feasibility aimed at empirically detecting AI consciousness are proposed: one involving human interaction and two fully automated, consisting in multi-agent conversations between machines. The practical and philosophical challenges involved by the idea of transforming the proposed thought experiments into an actual empirical trial are then discussed. In light of these considerations, the proposals put forth in the paper appears to be at least a contribution to computational philosophy in the form of philosophical thought experiments focused on computational systems, aimed at refining our philosophical understanding of consciousness. Hopefully, it could also provide hints toward future empirical investigations into machine consciousness.