数字时代的人工智能和失言症:一个批判性回顾
Adam John Privitera1, Siew Hiang Sally Ng1,2, Anthony Pak-Hin Kong3,4
1Centre for Research and Development in Learning, Nanyang Technological University, Singapore 637335, Singapore.
Brain sciences
|April 27, 2024
概括
人工智能 (AI) 通过分析语音数据来了解大脑功能和语言普遍性,为研究失语提供了新的方法. 虽然人工智能工具对口音障碍的评估和治疗充满希望,但对它们的局限性进行仔细考虑对于公平的整合至关重要.
科学领域:
- 神经科学是一个神经科学.
- 计算语言学 计算语言学
- 人工智能的人工智能
背景情况:
- 传统上,口腔学探讨文化,语言和环境对大脑发育的影响.
- 人工智能的最新进展为在数字时代增强口腔病理学提供了机会.
研究的目的:
- 为了检查人工智能和口腔病理学之间的相互关系.
- 突出AI在模拟脑损伤对语言普遍的影响方面的潜力.
- 讨论人工智能在临床评估和治疗失言症中的作用.
主要方法:
- 利用跨语言的语音数据进行AI建模.
- 使用生成性AI (例如,ChatGPT) 和自然语言处理 (NLP).
- 分析损伤的神经网络以了解神经语言处理.
主要成果:
- 人工智能可以模拟大脑损伤如何影响语法和语言的普遍性.
- 数字化失语数据可以通过深度学习揭示新的语言处理模式.
- 由人工智能驱动的干预措施提供了个性化治疗和适应性平台来治疗失语症.
结论:
- 人工智能在口腔病学中的整合需要对其局限性的严格评估.
- 潜在的挑战包括语言偏见,伦理问题和数据表示.
- 在适当的治理下,人工智能可以在口腔病理学中实现公平的影响.
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