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This paper critiques digital cloning in academic research, highlighting howit exemplifies AI solutionism. Digital clones, which replicate user data tosimulate behavior, are often seen as scalable tools for behavioral insights.However, this framing obscures ethical concerns around consent, agency, andrepresentation. Drawing on feminist theories of agency, the paper argues thatdigital cloning oversimplifies human complexity and risks perpetuating systemicbiases. To address these issues, it proposes decentralized data repositoriesand dynamic consent models, promoting ethical, context-aware AI practices thatchallenge the reductionist logic of AI solutionism

Clones in the Machine: A Feminist Critique of Agency in Digital Cloning