"它看起来很性感,但这是错误的. 创意和准确性的紧张使用genAI用于生物医学可视化
IEEE transactions on visualization and computer graphics
|December 4, 2025
概括
生物医学可视化 (BioMedVis) 中的生成人工智能 (genAI) 提供了美观的视觉效果,但有可能导致数据不准确. 人类监督对于可信的科学视觉和保持公众对科学的信任至关重要.
科学领域:
- 生物医学可视化可视化
- 人工智能的人工智能
- 科学沟通科学沟通
背景情况:
- 生成型人工智能 (genAI) 工具可以轻松创建生物医学内容的视觉效果.
- 然而,这些工具的基础架构可能会损害所描绘信息的准确性和可靠性.
研究的目的:
- 分析与生物医学可视化 (BioMedVis) 中 genAI 使用相关的工作流和紧张关系.
- 了解从业人员对视觉数据表示的genAI的关注和价值观.
主要方法:
- 与BioMedVis从业者和研究人员进行了17次定性访谈.
- 分析了对genAI的态度,从采用到避免,跨越不同的工作流阶段.
主要成果:
- 生物医学公司的专家们在不同的工作流程阶段,用不同的态度利用genAI.
- 目前的genAI使用为可视化研究提供了机会和陷.
- 这些发现与之前关于genAI在可视化管道中的作用的预测形成鲜明对比.
结论:
- 人类干预对于同情的设计和对科学视觉图像的准确评估至关重要.
- 优先考虑BioMedVis的准确性和可信度至关重要,特别是当公众对科学的信任较低时.
- "首先,不要伤害"的原则广泛适用于科学传播.
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