When AI gets it wrong: Why transcription errors could become healthcare and justice’s next big risk
AI works best as an augmentation technology rather than a replacement technology. In environments where accuracy is a legal, ethical or clinical requirement, efficiency gains must be balanced against the consequences of getting things wrong. The post When AI gets it wrong: Why transcription errors could become healthcare and justice’s next big risk appeared first on Digital Journal .
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When AI gets it wrong: Why transcription errors could become healthcare and justice’s next big risk Why it matters: AI News is showing a concrete production workflow, which helps builders see where AI is already improving operations and what patterns may be worth copying. So...
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