当前位置: X-MOL 学术Hastings Center Rep. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Regulating AI in Health Care: The Challenges of Informed User Engagement
Hastings Center Report ( IF 2.3 ) Pub Date : 2021-06-22 , DOI: 10.1002/hast.1263
Olya Kudina

The European Union's proposed Artificial Intelligence Act is a welcome, ambitious law on the regulation of AI systems. However, it underestimates the responsibilities placed on individual users to navigate the implementation of AI. Focusing on the health care sector, this policy piece examines challenges that the proposed law bypasses. First, effective human-AI collaboration in the diagnostic process hinges on the acknowledgment of AI's mediating role in this process, on forming a diagnostic dialogue between humans and AI. Second, with AI in this mediating role, the meaning of responsibility is changed to accommodate the broadened scope of clinician and patient duties, modified clinical workflows, and emergent medical norms. Finally, the challenge of media literacy concerns both the issues of access to knowledge and the ability to make informed choices regarding human-AI interaction. This policy piece suggests that embracing the complexity of the use practices is essential to achieving an effective human-AI partnership, in the medical sector and at large.

中文翻译:

监管医疗保健中的人工智能:知情用户参与的挑战

欧盟提议的《人工智能法》是一项受欢迎的、雄心勃勃的关于人工智能系统监管的法律。然而,它低估了个人用户在引导人工智能实施方面的责任。该政策以医疗保健部门为重点,审查了拟议法律所规避的挑战。首先,诊断过程中人与人工智能的有效协作取决于对人工智能在此过程中的中介作用的认可,取决于在人与人工智能之间形成诊断对话。其次,随着人工智能发挥中介作用,责任的含义发生了变化,以适应临床医生和患者职责范围的扩大、临床工作流程的修改和紧急医疗规范。最后,媒体素养的挑战既涉及获取知识的问题,也涉及就人机交互做出明智选择的能力。这篇政策文章表明,接受使用实践的复杂性对于在医疗领域和整个领域实现有效的人机合作至关重要.
更新日期:2021-06-22
down
wechat
bug