TL;DR
The argument further holds that AI does not possess moral agency in the classical sense but functions as an infrastructural precondition for the reconfiguration of normative hierarchies—in an empirical rather than transcendental sense.
The rise of agentic AI systems, which are autonomous, proactive, and capable of multi-step task execution, has transformed how individuals interact with intelligent technologies. While these systems promise efficiency and enhanced decisionmaking, they also introduce new ethical vulnerabilities. This study investigates...
It is argued that demonstrating internal incoherence is a necessary precursor to AI alignment as well as a broader phenomenon of epistemic instability in generative AI wherein models fail to reliably maintain coherence with respect to their own prior outputs.
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...
It is argued that algorithmic assistance can legitimately expand human deliberation, whereas delegation dissolves the very subject who judges, and derived governance theorems for non-delegability, contestability, reversibility, and subsidiarity.
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.
The paper argues that this trend warrants a re-examination of Verbeek’s framework for its capacity to explain the co-evolution of technology and morality in the digital age, and it envisions a future of human–machine value co-evolution organized around new research directions such as “Setting as Governance” and “value...
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