AI Consciousness and Existential Risk

• URL: http://arxiv.org/abs/2511.19115v1
• Date: Mon, 24 Nov 2025 13:48:02 GMT
• Title: AI Consciousness and Existential Risk
• Authors: Rufin VanRullen,
• Abstract summary: In AI, the existential risk denotes the hypothetical threat posed by an artificial system that would possess both the capability and the objective to eradicate humanity.<n>The two questions, AI consciousness and existential risk, are sometimes conflated, as if the former entailed the latter.<n>I explain this view stems from a common confusion between consciousness and intelligence.<n>There are, however, certain incidental scenarios in which consciousness could influence existential risk, in either direction.
• Score: 8.264344308830797
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: In AI, the existential risk denotes the hypothetical threat posed by an artificial system that would possess both the capability and the objective, either directly or indirectly, to eradicate humanity. This issue is gaining prominence in scientific debate due to recent technical advancements and increased media coverage. In parallel, AI progress has sparked speculation and studies about the potential emergence of artificial consciousness. The two questions, AI consciousness and existential risk, are sometimes conflated, as if the former entailed the latter. Here, I explain that this view stems from a common confusion between consciousness and intelligence. Yet these two properties are empirically and theoretically distinct. Arguably, while intelligence is a direct predictor of an AI system's existential threat, consciousness is not. There are, however, certain incidental scenarios in which consciousness could influence existential risk, in either direction. Consciousness could be viewed as a means towards AI alignment, thereby lowering existential risk; or, it could be a precondition for reaching certain capabilities or levels of intelligence, and thus positively related to existential risk. Recognizing these distinctions can help AI safety researchers and public policymakers focus on the most pressing issues.

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