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自动化错误识别:残疾人的案例
Jackie Leach Scully1, Georgia van Toorn2, Sandra Gendera3
1Disability Innovation Institute, UNSW Sydney, Goodsell Building, Kensington, NSW 2052, Australia. jackie.leach.scully@unsw.edu.au.
Journal of bioethical inquiry
|June 3, 2025
概括
医疗保健中的自动化决策 (ADM) 可能无法识别残疾人,使边缘化延续. 这项研究强调了对人工智能系统的关键需求,这些系统可以承认和验证残疾人的经验.
科学领域:
- 生物伦理学生物伦理学
- 人工智能伦理学 人工智能伦理学
- 关于残疾人的研究.
背景情况:
- 生物伦理学越来越多地解决了围绕人工智能 (AI) 和自动决策 (ADM) 在医疗保健和研究中的伦理问题.
- 现有关于人工智能正义的研究强调了人工智能系统如何加强社会边缘化.
- 人工智能,ADM和残疾的交集在当前文献中仍然未被充分探索.
研究的目的:
- 调查ADM对澳大利亚残疾人的影响.
- 识别和分析AI和ADM在残疾背景下所带来的伦理挑战.
- 让人们注意自动化系统的识别失败问题,这是残疾人经常提出的问题.
主要方法:
- 基于经验的研究项目.
- 通过与澳大利亚残疾人参与者的讨论进行定性数据收集.
- 专注于残疾人关于ADM的经历和观点.
主要成果:
- 残疾参与者一直担心自动化系统无法识别他们的独特需求和经验.
- 这些未能得到ADM系统的认可,可能会导致边缘化,并使不平等持续下去.
- 这些发现强调了人工智能伦理学文献中关于残疾和认可的重大差距.
结论:
- 医疗保健和研究中的自动化决策系统在识别残疾人方面表现出严重的失败.
- 解决这些认可失败对于确保人工智能应用中的正义和公平至关重要.
- 需要进一步的研究和道德准则来开发包容性AI,尊重残疾人的多样性和经验.
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