Low-Cost LIE-DETECTION TECHNOLOGY VIEWS
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A 2026-10-30 LessWrong post argues that if ML could develop lie-detection more reliable than polygraphs, impact depends on 'cooperation cost': how much voluntary subject participation is needed. From low to high, cooperation cost maps to: text, audio-visual, biometric, wearable neural, fixed neural, and invasive neural data. The author advocates prioritizing remote low-cooperation-cost detection and avoiding high-cost invasive risks. No earlier reports; this is the sole source. No contradictions noted. All claims attributed only to this post's author.
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- LessWrong · All Posts观点：低合作成本的谎言检测技术更安全
作者认为，若机器学习能开发出比测谎仪更可靠的谎言检测技术，其影响将取决于“合作成本”，即检测需要受测者多大程度的自愿配合。从低到高，合作成本依次对应文本、音视频、生物特征、可穿戴神经数据、固定神经数据及侵入式神经数据。作者主张，若加速谎言检测技术，应优先发展低合作成本的远程检测手段，并避免高合作成本技术带来的潜在风险。
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