大型语言模型可以帮助解决解释权的成本问题吗?
Lauritz Munch1, Jens Christian Bjerring2
1Philosophy and History of Ideas, Aarhus Universitet, Aarhus, Denmark lauritzmunch@gmail.com.
自动化决策系统为解释创造了一个成本问题. 大型语言模型可能提供解决方案,但引入了关于可解释性的重大伦理问题.
科学领域:
- 人工智能的人工智能
- 技术中的伦理学
- 决策系统 决策系统
背景情况:
- 关于对自动化决策系统的解释的道德权利存在共识.
- 为高风险的自动化决策提供解释是一个巨大的成本挑战.
- 这一挑战被称为"成本问题",影响使用这些系统的组织.
研究的目的:
- 调查大型语言模型 (LLM) 在解决自动化决策解释成本问题方面的潜力.
- 评估使用LLM用于生成决策解释的可行性和伦理影响.
主要方法:
- 对大型语言模型在生成解释方面的能力进行探索性分析.
- 对涉及的道德权衡进行概念性检查.
主要成果:
- 大型语言模型在潜在地克服与解释相关的成本问题方面显示出希望.
- 为此目的使用LLM可能会产生严重的伦理成本.
结论:
- 法律法规提供了一种潜在的途径,可以减轻为自动化决策提供解释的财务负担.
- 伦理方面的影响,包括公平和透明度,需要仔细考虑和进一步研究.
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