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人工智能在医学中的“神奇理论”:主题叙事分析

The "Magical Theory" of AI in Medicine: Thematic Narrative Analysis.

作者信息

Lorenzini Giorgia, Arbelaez Ossa Laura, Milford Stephen, Elger Bernice Simone, Shaw David Martin, De Clercq Eva

机构信息

Institute for Biomedical Ethics, University of Basel, Basel, Switzerland.

Unit for Health Law and Humanitarian Medicine, Center for Legal Medicine, University of Geneva, Geneva, Switzerland.

出版信息

JMIR AI. 2024 Aug 19;3:e49795. doi: 10.2196/49795.

Abstract

BACKGROUND

The discourse surrounding medical artificial intelligence (AI) often focuses on narratives that either hype the technology's potential or predict dystopian futures. AI narratives have a significant influence on the direction of research, funding, and public opinion and thus shape the future of medicine.

OBJECTIVE

The paper aims to offer critical reflections on AI narratives, with a specific focus on medical AI, and to raise awareness as to how people working with medical AI talk about AI and discharge their "narrative responsibility."

METHODS

Qualitative semistructured interviews were conducted with 41 participants from different disciplines who were exposed to medical AI in their profession. The research represents a secondary analysis of data using a thematic narrative approach. The analysis resulted in 2 main themes, each with 2 other subthemes.

RESULTS

Stories about the AI-physician interaction depicted either a competitive or collaborative relationship. Some participants argued that AI might replace physicians, as it performs better than physicians. However, others believed that physicians should not be replaced and that AI should rather assist and support physicians. The idea of excessive technological deferral and automation bias was discussed, highlighting the risk of "losing" decisional power. The possibility that AI could relieve physicians from burnout and allow them to spend more time with patients was also considered. Finally, a few participants reported an extremely optimistic account of medical AI, while the majority criticized this type of story. The latter lamented the existence of a "magical theory" of medical AI, identified with techno-solutionist positions.

CONCLUSIONS

Most of the participants reported a nuanced view of technology, recognizing both its benefits and challenges and avoiding polarized narratives. However, some participants did contribute to the hype surrounding medical AI, comparing it to human capabilities and depicting it as superior. Overall, the majority agreed that medical AI should assist rather than replace clinicians. The study concludes that a balanced narrative (that focuses on the technology's present capabilities and limitations) is necessary to fully realize the potential of medical AI while avoiding unrealistic expectations and hype.

摘要

背景

围绕医学人工智能(AI)的讨论往往聚焦于要么大肆宣扬该技术的潜力,要么预测反乌托邦式未来的叙述。人工智能的叙述对研究方向、资金投入和公众舆论有着重大影响,从而塑造了医学的未来。

目的

本文旨在对人工智能的叙述进行批判性反思,特别关注医学人工智能,并提高人们对从事医学人工智能工作的人员如何谈论人工智能以及履行其“叙述责任”的认识。

方法

对41名来自不同学科、在职业中接触过医学人工智能的参与者进行了定性半结构化访谈。该研究采用主题叙述方法对数据进行二次分析。分析得出2个主要主题,每个主题又各有2个子主题。

结果

关于人工智能与医生互动的故事描绘了竞争或合作关系。一些参与者认为人工智能可能会取代医生,因为它比医生表现更好。然而,另一些人认为医生不应被取代,人工智能应该辅助和支持医生。讨论了过度技术依赖和自动化偏见的观点,强调了“失去”决策权的风险。还考虑了人工智能能否减轻医生的职业倦怠,使他们有更多时间陪伴患者。最后,一些参与者对医学人工智能的描述极为乐观,而大多数人则批评这类叙述。后者对医学人工智能的“神奇理论”的存在表示遗憾,这种理论与技术解决主义立场相关。

结论

大多数参与者对技术持细致入微的看法,认识到其好处和挑战,避免两极分化的叙述。然而,一些参与者确实助长了围绕医学人工智能的炒作,将其与人类能力进行比较并将其描绘为更优越。总体而言,大多数人同意医学人工智能应该辅助而不是取代临床医生。该研究得出结论,要充分实现医学人工智能的潜力,同时避免不切实际的期望和炒作,需要一种平衡叙述(关注技术的当前能力和局限性)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ee/11369530/1ead2f6bbca5/ai_v3i1e49795_fig1.jpg

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