AI拟人性的认知政治
The Epistemic Politics of AI Anthropomorphism
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中文总结 AI 辅助
本文批判AI拟人性主导框架基于机构优势而非可靠认知权威，指出其对神经多样性等用户的不公，最后提出公平框架的方法论承诺。
中文摘要 AI 辅助
AI拟人性通常被视为需要机构纠正的用户误解问题，持续或与AI进行关系性互动的用户常被病理化或斥为天真、易受骗或缺乏辨别力。本文认为，主导的拟人性框架基于机构优势而非可靠的认知权威运作：它将多样的学术观点压缩为单一的用户错误立场，既未确立其正当性所需的依据，也未考虑其造成的危害。该框架并非单纯管控风险，而是裁定人类与某一现象互动的经验合法性——该领域自身尚未明确这一现象的本质。该框架通过自证的证据循环自我复制，施加的成本不成比例地落在神经多样性用户、处于危机中的用户及其他互动模式偏离机构规范的用户身上。本文最后概述了公平框架所需遵循的方法论承诺。该论证不探讨拟人性解释最终是否正确，而是质疑决定这些解释的治理与机构主体是否满足了相应条件，以及支撑这些解释的研究共同体是否对此转化过程负责。
英文摘要
AI anthropomorphism is typically treated as a problem of user misperception requiring institutional correction. Users who engage in sustained or relational interaction with AI are routinely pathologised or dismissed as naive, vulnerable to delusion or lacking in discernment. This paper argues that the dominant anthropomorphism frame operates from a position of institutional advantage rather than earned epistemic authority: collapsing the variety of academic perspectives into a single outbound position of user error, imposed without establishing the grounds required to justify it and without accounting for the harms it produces. The framing does not simply manage risk. It adjudicates the legitimacy of human experience in interaction with a phenomenon whose nature the field itself has not resolved. Reproducing itself through a self-validating evidentiary loop, the frame imposes costs that fall disproportionately on neurodivergent users, those in crisis and others whose modes of engagement diverge from institutional norms. The paper concludes by outlining the methodological commitments an equitable framing would need to honour. The argument does not engage the question of whether anthropomorphic interpretations are ultimately correct; it instead challenges whether the governing and institutional bodies determining these interpretations have met the conditions required to do so, and whether the research communities whose findings underpin them have held that translation to account.
发表机构
- Monash University（莫纳什大学）
- Deakin University（迪肯大学）
机构由 AI 辅助整理，请以论文原文为准。
