Aug 2026· Scientia et Fides· 0 citations· 18 references
TL;DR
It is claimed that the contrast between AI and the classical theism outlook is highly relevant for the cluster of issues relating to transparency or opacity, reliabilism, and trust, which is discussed today as the black-box problem.
Abstract
In the paper I contrast what I take to be a universal feature of all the AI research – namely focusing on processing information or transitions from one state of a machine to another – with the role assigned to non-processing minds in the classical theism framework. I briefly discuss the latter in epistemological context – the issue of inferential internalism and some problems of transparency, opacity, and trust. In this I show that the contrast between AI and the classical theism outlook is highly relevant for the cluster of issues relating to transparency or opacity, reliabilism, and trust, which is discussed today as the black-box problem. In particular, I identify in this context what I take to be the most serious aspect of the black-box problem; I reject the idea that the problem is a superficial one; and I claim that it poses basic limits on the AI research and cannot be solved along the lines of Explainable Artificial Intelligence.
A unified vision is offered: intelligence arises from constrained architectures and emergent patterns, and as AI systems become more autonomous, they may require surrogate forms of consciousness to handle complex, real-world challenges—though these will never fully replicate the biological original.
John-Michael M. Kuczynski· Communication & Cognitio...· 0 citations
The paper attempts to provide new, original answers to the question of what would make AI ‘genuine’ or ‘human-like’, and analyse which features of the human mind are necessary to conclude that their owner is “genuinely intelligent”.
Comparing AI with animals, aliens, and deities is highlighted, highlighting both the promise and the limits of extending the authors' concepts of mind and meaning beyond the human case.
The paper demonstrates the need to reconfigure the anthropocentric conceptual apparatus of science studies to enhance its explanatory adequacy and proposes a shift in research focus toward the empirical analysis of AI’s actual use in scientific practice and the reconstruction of the emergent normative orders within the...
A. Filatova· Epistemology & Philosoph...· 0 citations
ABSTRACT Frances Egan has drawn a distinction between two types of content that can be ascribed to cognitive systems. In contrast to standard representationalist formulations, she takes mathematical content (M-content) to specify the function computed in abstract terms that make no reference to either concrete implemen...
Tommi Buder-Gröndahl· Philosophical Psychology· 1 citation
It is argued that while Generative AI is clever, it is not wise, and that a world governed by AI would be a world that had gained in cleverness, but had lost wisdom.
Michael Wilby· Human Affairs· 0 citations
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