The linguistics and ethics of deepfake audio translation: establishing normative foundations

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The study reveals systematic patterns of linguistic interference in deepfake audio translations, affecting both phonetic and semantic aspects.
Key findings highlight significant gaps in ethical guidelines, particularly in informed consent for voice cloning in translation.
Research employs a multidisciplinary approach, combining case analysis of deepfake applications with thorough linguistic examination.
The investigation underscores a critical discrepancy between technological capabilities and existing legal frameworks, risking disinformation.

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This article examines linguistic challenges and ethical concerns of deepfake technology, indicating the need for regulation.

Oksana Akay (2025) studied this question.

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