关键词: Explainability Human-centered artificial intelligence Rhinocytology User control

Mesh : Humans Artificial Intelligence Nasal Mucosa / metabolism

来  源:   DOI:10.1016/j.artmed.2024.102933

Abstract:
This article explores Human-Centered Artificial Intelligence (HCAI) in medical cytology, with a focus on enhancing the interaction with AI. It presents a Human-AI interaction paradigm that emphasizes explainability and user control of AI systems. It is an iterative negotiation process based on three interaction strategies aimed to (i) elaborate the system outcomes through iterative steps (Iterative Exploration), (ii) explain the AI system\'s behavior or decisions (Clarification), and (iii) allow non-expert users to trigger simple retraining of the AI model (Reconfiguration). This interaction paradigm is exploited in the redesign of an existing AI-based tool for microscopic analysis of the nasal mucosa. The resulting tool is tested with rhinocytologists. The article discusses the analysis of the results of the conducted evaluation and outlines lessons learned that are relevant for AI in medicine.
摘要:
本文探讨了医学细胞学中的以人为中心的人工智能(HCAI),重点是加强与人工智能的互动。它提出了一种Human-AI交互范式,强调AI系统的可解释性和用户控制。它是基于三种交互策略的迭代协商过程,旨在(i)通过迭代步骤(迭代探索)阐述系统结果,(Ii)解释人工智能系统的行为或决定(澄清),(iii)允许非专家用户触发对AI模型的简单重新训练(重新配置)。在重新设计现有的基于AI的工具以对鼻粘膜进行微观分析时,利用了这种相互作用范式。用鼻细胞学家测试所得的工具。本文讨论了对进行的评估结果的分析,并概述了与医学AI相关的经验教训。
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