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Can (Generative) Artificial Intelligence Be Ours? Critical Perspectives and Intersectional Dialogues.

Critical Theory
Technology
Artificial Intelligence
P072
D'arcy Ritchie
University of Birmingham
Marco Guglielmo
University of Valencia

Abstract

This panel invites contributions that critically examine the possibilities and promises of (Generative) Artificial Intelligence (Gen)AI for societal transformation. We welcome analyses that address domains such as work, creativity, expression, and the environment, as well as the persistent hope that (Gen)AI might offer a solution to human bias and non-neutrality (Bassett, 2023, p. 268). In particular, we seek papers that question whether the promises of (Gen)AI can ever be genuinely beneficial to all, and whether its potential can be harnessed by marginalised groups invested in these very promises. While embracing epistemological and methodological pluralism, we encourage critical perspectives that resist portraying (Gen)AI as an abstract technological process. Instead, we invite work that situates (Gen)AI within the social and political regimes in which such systems are developed and deployed. We are especially interested in contributions that interrogate how these contexts shape inclusion and exclusion within the imaginaries and material realities of (Gen)AI. From an intersectional perspective, the panel welcomes reflections on efforts to transform society through (Gen)AI, recognising that approaches focusing solely on what all members of a given group share “will best serve those members of the group that are least oppressed” (Srinivasan, 2021, p. 17). By foregrounding intersectionality, the panel aims to trace the promises, realities, transformations, and harms of (Gen)AI, asking who must be centred if (Gen)AI is to become truly collective and emancipatory. Ultimately, the panel seeks to foster dialogue between critical positions that advocate resistance to and through (Gen)AI, and those that prioritise reform, contributing to the shaping of a terrain where critical perspectives can serve the common good (Guglielmo et al., 2025).

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