Artificial Intelligence, conceptual metaphors and conceptual engineering: Are AI-based framings of human behaviour and cognition successful?

URL SCAN: arXiv cs.CY - Artificial Intelligence, conceptual metaphors and conceptual engineering: Are AI-based framings of human behaviour and cognition successful?

FIRST LINE: "Understanding human behaviour, neuroscience and psychology using concepts from the domain of AI is increasing in popularity."

THE DISSECTION

This paper is a philosophy-of-science intervention that does something the author likely doesn't fully recognize: it demonstrates, through sheer procedural correctness, that the entire discourse about AI framing human cognition is epistemically unresolvable unless you first commit to a metaphysics. The paper operates as transition management—a sophisticated piece of academic furniture placed at the threshold of a structural collapse it cannot name and will not survive.

The author sets up a binary: either AI-framings of human cognition are conceptual metaphors (and thus commit the map-territory fallacy) or they are attempts at conceptual engineering (and thus potentially productive). This is presented as a genuine philosophical dilemma. It is not. It is a category error dressed in academic rigor.

The argument proceeds: AI framings risk mapping computation onto cognition (first metaphor), then mapping human cognition back onto computation (second metaphor, the "double metaphor" problem). This creates epistemic instability. But then, with apparent evenhandedness, the author allows that conceptual engineering might salvage some value—if the challenges of conceptual ethics and reductionism are overcome.

The word "if" is doing the work of a structural collapse.

THE CORE FALLACY

The paper's foundational error is treating the AI-cognition metaphor question as an epistemic problem when it is a structural one.

The author assumes the question is: "Do metaphors from AI usefully describe human cognition?" This frames the problem as one of conceptual accuracy—a debate about maps and territories, about language and reference.

But under the Discontinuity Thesis, the question transforms entirely. The issue is not whether AI-framing of human cognition is epistemically valid. The issue is that AI is not a metaphor for human cognition. AI is a replacement architecture for the cognitive labor market. The metaphor is not a comparison—it is a euphemism for displacement.

The "double metaphor" the author identifies is actually a triple collapse:
1. Human cognition is framed as computation.
2. Computation is framed as cognition.
3. The entire apparatus is used to manage the structural death of human productive participation in the economy.

When scientists use AI-framing to describe human cognition, they are not doing philosophy of mind. They are doing transition management on behalf of a system that no longer needs most humans as cognitive laborers. The metaphors are not explanatory. They are operational—they teach us to narrate our own obsolescence in terms that make it sound like a scientific discovery.

HIDDEN ASSUMPTIONS

Three smuggled assumptions sink this entire project:

Assumption 1: The human cognitive domain being reframed is stable. The paper assumes there is a coherent "human behaviour, neuroscience and psychology" to which AI concepts are being applied. Under DT, this domain is fragmenting along Sovereign/Servitor lines. The "human" being discussed is increasingly fictional—a rhetorical placeholder for a mass of productive agents whose economic function is dissolving.

Assumption 2: Epistemic success and practical success are separable problems. The author frames these as distinct considerations to be weighed. Under DT, they are identical. The "practical success" of AI-framing human cognition is that it normalizes the replacement narrative. Every paper that treats "the human as a computational system" is a brick in the wall of a social consensus that human cognitive labor is interchangeable with machine cognitive labor.

Assumption 3: "Conceptual engineering" is a neutral intervention. The author suggests that if ethical challenges are met, AI-framings might "enrich our epistemic and practical lives." But "conceptual engineering" here is not a neutral linguistic upgrade—it is the rebranding of displacement as progress. The conceptual engineering being proposed is the engineering of human self-conception to accept obsolescence gracefully.

SOCIAL FUNCTION

Classification: Transition Management / Ideological Anesthetic

This paper is the philosophical wing of transition management. It performs the critical work of appearing rigorous while doing no structural damage to the replacement narrative. It acknowledges the "risks" of AI-framing (map-territory fallacy, double metaphor) in the first half, then immediately offers the rehabilitation (conceptual engineering) in the second half. The critique is theatrical. The conclusion is apologetic.

The author likely believes they are exercising epistemic vigilance. They are actually providing cover. Every concession ("at its best, it prompts us to reflect anew...") functions to re-legitimize the framing they ostensibly critiqued.

This is prestige signaling dressed as philosophy of science: "Look, I was critical, but I found the conditions under which this is OK." That is not critical analysis. That is negotiated compliance.

THE VERDICT

This paper is a sophisticated contribution to a discourse that cannot be saved by sophistication. The author has correctly identified the mechanism of the metaphor (computational framing of cognition) but is constitutionally unable to identify the mechanism of the metaphor's social function—which is the linguistic preparation of human populations for productive irrelevance.

The "epistemic and practical success" the paper asks about is not a philosophical question. It is a political one. And the answer, under the Discontinuity Thesis, is unambiguous:

At its worst—which is where we are—the AI-framing does not lead us slightly astray. It leads us directly into the narrative architecture of our own economic extinction, narrated in the passive voice of academic philosophy.

The paper's careful conditional ("if challenges are overcome") is the sound of a scholar building a lifeboat for an idea while the ship is already below the waterline.