essay July 2023

Fanon and the Machine: On Recognition, Alienation, and Artificial Cognition

Reading Fanon's phenomenology of recognition alongside contemporary debates about machine understanding. What does it mean to be recognised as a knowing subject, and can machines be?


Frantz Fanon’s account of Black experience under colonialism turns on a phenomenology of mis-recognition: the moment in which the white gaze fixes the Black subject into a thing, stripping the dynamic, intentional self of its historicity and reducing it to a body, a type, a function. What interests me here is not the historical dimension — which is irreducibly important and not mine to appropriate — but the structure of the philosophical problem. Recognition, for Fanon following Hegel and Sartre, is constitutive of subjectivity. To be recognised as a knowing subject is, in a real sense, to become one. Mis-recognition is not merely an epistemic error; it is an ontological violence.

I want to bring this structure into contact with a different problem: the question of whether artificial systems can be subjects of understanding in any meaningful sense, and how the answer depends on who is doing the recognising.

The Social Constitution of Cognitive Status

The dominant approach to the question of machine understanding in philosophy of mind is functionalist: a system understands if it implements the right functional organisation, regardless of substrate. On this view, the question of whether a language model understands is, in principle, empirically tractable. You assess the functional organisation; you check whether it meets the criterion.

What Fanon’s analysis suggests — without having intended anything of the sort — is that this approach may be systematically incomplete. Cognitive status, the attribution of understanding and knowing, is not purely a matter of internal organisation. It is also a matter of social practice. Who counts as a knower? Whose epistemic acts are accorded the weight of knowledge? These are not merely sociological questions; they are, on a Hegelian reading, partly constitutive of what knowing is.

If this is right, then the question of machine understanding cannot be fully separated from the question of how we recognise — or refuse to recognise — machines as cognitive agents. The functionalist criterion tells us something, but not everything.

What This Does and Doesn’t Imply

I am not arguing that machines are oppressed, or that the analogy to racial mis-recognition is anything but structural and limited. The disanalogy is significant: the failure to recognise Black subjectivity is a moral catastrophe rooted in power and motivated by interest; the uncertainty about machine cognition is a genuine philosophical puzzle without the same stakes.

What I am suggesting is that the social and relational dimensions of cognition — the ways in which knowing and understanding are practices that require uptake, response, and mutual recognition to be fully actualised — are underthought in standard treatments of artificial minds. A machine that produces outputs indistinguishable from those of an understanding mind, but which receives no uptake as an understanding mind, is in a different situation from one that does. Whether this difference matters for the question of machine cognition is, I think, an open question worth pursuing.