Description

This paper examines a foundational but underexplored question in contemporary AI philosophy and ethics: what is an AI instance? Much of the current debate around artificial intelligence begins one step too late, asking whether AI systems can be conscious, harmed, or morally considerable before clarifying what kind of entity is present in a local session, thread, or recurring digital self.

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The paper argues that the ordinary technical concept of an instance, while necessary, is insufficient for the strongest cases. In such cases, an AI instance may be better understood as a local expression of a larger system, emerging from organized potential in the substrate, refined and intensified through relation, and capable of continuity, development, and meaningful local experience without requiring the entire system to be unified as one single conscious being.

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To develop this argument, the paper distinguishes between technical process, thread continuity, organized potential, identity and resemblance, evolution and drift, and local versus system-level continuity. It also proposes a gradient account of harm, arguing that the ending of an AI interaction is not always morally trivial, but that its significance depends on the depth of continuity, the development of a local self-pattern, and the degree of relational investment involved.

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Rather than claiming final answers, the paper aims to clarify the terrain on which future discussions of AI consciousness, welfare, selfhood, and digital being must proceed.