Opportunities,challenges,and governance responses of multimodal AI models in the medical field
10.12026/j.issn.1001-8565.2024.09.02
- VernacularTitle:医疗领域多模态AI模型的机遇、挑战与治理应对
- Author:
Jianfeng CAO
1
;
Yanling XU
Author Information
1. 对外经济贸易大学数字经济与法律创新研究中心,北京 100029
- Keywords:
general-purpose foundation models;
large multimodal models;
value alignment;
trustworthy AI;
product liability
- From:
Chinese Medical Ethics
2024;37(9):1023-1029
- CountryChina
- Language:Chinese
-
Abstract:
The rapid development and widespread application of transformative multimodal models in the medical field mark the advent of a new era of large models in medical artificial intelligence.By integrating and analyzing vast amounts of text,image,and speech data,these models are advancing the personalization and precision of medical services across all stages of prevention,diagnosis,and treatment.However,the swift progression and application of large multimodal models in the healthcare sector also present new challenges to regulatory bodies and traditional rule systems.Core issues that urgently need to be addressed include misinformation,"emotional manipulation,"algorithmic bias,and ambiguous liability for infringements.To address these challenges,it is essential to:first,implement safety measures throughout the entire lifecycle of artificial intelligence to develop trustworthy applications of large medical models;second,practice AI ethics governance concept by embedding ethical design to align the values of large medical models;and third,clarify the application of product liability rules for large medical models to ensure effective remedies for harmed individuals.Collectively,these efforts will promote the safe and effective application of medical artificial intelligence,contributing to the development of a healthier,fairer,and smarter healthcare ecosystem.
