AI虽可靠但不可信，可能损害医患信任关系。
Limits of trust in medical AI
- 区分可靠性与信任性，指出AI无法建立真正信任
- 患者依赖AI做医疗决策，易导致信任缺失
- 警示临床场景中过度依赖AI的风险，适合关注医疗伦理者阅读
人工智能（AI）有望彻底改变医学实践。近年来深度学习在多种临床任务中取得成功：如通过图像检测糖尿病视网膜病变、预测医院再入院、辅助新药发现等。然而，AI在医学领域的进展也引发了对其对临床实践中信任关系潜在影响的担忧。本文认为这些担忧有其合理性：尽管AI系统可被依赖且具备可靠性，却无法被信任，也不具备信任性。当患者需依赖AI进行医疗决策时，这种依赖可能导致临床关系中信任的缺失。
原文摘要 · Abstract (English)
Artificial intelligence (AI) is expected to revolutionize the practice of medicine. Recent advancements in the field of deep learning have demonstrated success in a variety of clinical tasks: detecting diabetic retinopathy from images, predicting hospital readmissions, aiding in the discovery of new drugs, etc. AI's progress in medicine, however, has led to concerns regarding the potential effects of this technology upon relationships of trust in clinical practice. In this paper, I will argue that there is merit to these concerns, since AI systems can be relied upon, and are capable of reliability, but cannot be trusted, and are not capable of trustworthiness. Insofar as patients are required to rely upon AI systems for their medical decision-making, there is potential for this to produce a deficit of trust in relationships in clinical practice.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。