TL;DR
This commentary argues that the resulting taxonomy remains incomplete because it locates anthropomorphic error in the interpreter’s beliefs or selection of an interpretive stance, which explains why accurate disclosure that a system is artificial may still be ethically insufficient.
This paper argues that the dominant anthropomorphism frame operates from a position of institutional advantage rather than earned epistemic authority: collapsing the variety of academic perspectives into a single outbound position of user error, imposed without establishing the grounds required to justify it and without accounting for the harms it produces.
This pluralist account reveals that the current debate’s focus on whether users ‘really mean it’ obscures the pragmatic dimension of anthropomorphic ascription (and its risks), and defends Mixed Anthropomorphism.
Contemporary AI systems are increasingly designed to reduce uncertainty, ambiguity, and cognitive burden. This article argues that such systems do not merely expand human capacities but progressively externalize forms of judgment and existential burden that Christian traditions have historically understood as necessary conditions for the cultivation of moral agency. Drawing on the theological anthropologies of Augustine, Søren Kierkegaard, and Dietrich Bonhoeffer, the article develops a theological-anthropological critique of what it terms optimization culture: the normative logic through which the reduction of friction and existential difficulty becomes a dominant telos of technological design. Contemporary articulations of this logic are examined through the work of Jacques Ellul, Byung-Chul Han, Peter Thiel, Balaji Srinivasan, and William Davies. The article argues that AI systems shaped by this logic risk progressively externalizing the practices of disciplined attention, existential responsibility, and costly judgment through which mature moral agency has historically been cultivated. In response, it proposes a formative anthropology of technology as a framework for evaluating AI not only according to functional criteria such as safety or efficiency, but according to the kinds of human beings such systems actively help to form.
The paper’s central argumentative shift is to change the narrative from bias mitigation to bias management—treating bias not as a defect to be corrected but as an ongoing condition to be governed.
Artificial intelligence settles into decision-making systems that increasingly shape public life governance algorithms, economic coordination platforms, resource allocation. The ethical languages used to assess these systems, however, don’t always translate well. What counts as responsibility in contexts where personhood has never been reducible to individual autonomy? Where moral standing is relational, situated, inherited? These aren’t minor adjustments to existing frameworks. They’re questions about whether the frameworks themselves are adequate. This paper reflects on AI through African philosophical perspectives, particularly communitarian thought, asking how moral responsibility might be rethought when agency is distributed across humans, machines, and institutional arrangements. The discussion doesn’t aim for a comprehensive theory. It lingers instead on friction points moments where accountability seems to thin out, where the language of responsibility begins to strain under conditions it wasn’t designed for. In some cases, what’s needed isn’t clearer rules but a different kind of attentiveness. Drawing on ideas of shared life and social obligation, the paper suggests that ethical reflection on AI in Africa must remain oriented toward the fragile work of nation building. The argument unfolds cautiously, resisting programmatic conclusions. Responsible technological adoption, it proposes, depends less on perfecting accountability structures than on sustained moral attention to how technologies quietly reorganize relationships, shift public values, and redistribute the conditions for living together.
The article demonstrates how attempts to decentre the human often reconstitute new forms of authority in attempts to decentre the human and examines the possibility of surpassing standard anthropocentric approaches in AI while maintaining a critical philosophical engagement with the structurally necessary yet precarious character of organizing principles.