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As AI-powered audio transcription technology becomes more powerful and more cost-effective to run, we are seeing a proliferation of tools making use of this technology across a wide range of use-cases. While many such use-cases are seemingly benign (e.g. transcribing work meetings), others are explicitly adversarial (e.g. cheating on job interviews). In any case where an individual does not explicitly consent to being the subject of an AI-powered transcription, there is the potential for an abuse of that individual's privacy.