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arXiv · 2411.18833

The Method of Critical AI Studies, A Propaedeutic

Fabian Offert·Ranjodh Singh Dhaliwal
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Abstract

We outline some common methodological issues in the field of critical AI studies, including a tendency to overestimate the explanatory power of individual samples (the benchmark casuistry), a dependency on theoretical frameworks derived from earlier conceptualizations of computation (the black box casuistry), and a preoccupation with a cause-and-effect model of algorithmic harm (the stack casuistry). In the face of these issues, we call for, and point towards, a future set of methodologies that might take into account existing strengths in the humanistic close analysis of cultural objects.

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Fabian Offert, Ranjodh Singh Dhaliwal. 2024-11-28. The Method of Critical AI Studies, A Propaedeutic. https://arxiv.org/abs/2411.18833

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