Munch Lauritz, Bjerring Jens Christian
Philosophy and History of Ideas, Aarhus Universitet, Aarhus, Denmark
Philosophy and History of Ideas, Aarhus Universitet, Aarhus, Denmark.
J Med Ethics. 2025 Jul 7;51(7):493-496. doi: 10.1136/jme-2023-109737.
By now a consensus has emerged that people, when subjected to high-stakes decisions through automated decision systems, have a moral right to have these decisions explained to them. However, furnishing such explanations can be costly. So the right to an explanation creates what we call the cost problem: providing subjects of automated decisions with appropriate explanations of the grounds of these decisions can be costly for the companies and organisations that use these automated decision systems. In this paper, we explore whether large language models could prove significant in overcoming the cost problem. We provide an initial case for believing that they can but only with serious ethical costs.
目前已形成一种共识，即当人们通过自动化决策系统面临高风险决策时，他们有道德权利要求对这些决策作出解释。然而，提供这样的解释可能代价高昂。因此，解释权带来了我们所说的成本问题：对于使用这些自动化决策系统的公司和组织而言，向自动化决策的主体提供对这些决策依据的恰当解释可能成本不菲。在本文中，我们探讨大语言模型在克服成本问题方面是否能发挥重要作用。我们提供了一个初步的理由，让人相信它们能够做到，但这将伴随着严重的伦理成本。
