Robotics & Machine Learning Daily News2024,Issue(Nov.28) :59-59.

Faculty of Medicine Reports Findings in Artificial Intelligence (Representation of intensivists’ race/ethnicity, sex, and age by artificial intelligence: a cros s-sectional study of two text-to-image models)

医学院报告人工智能的发现(表示法)按人为因素划分的强化人员种族/民族、性别和年龄智力:两种文本-图像模型的横断面研究

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :59-59.

Faculty of Medicine Reports Findings in Artificial Intelligence (Representation of intensivists’ race/ethnicity, sex, and age by artificial intelligence: a cros s-sectional study of two text-to-image models)

医学院报告人工智能的发现(表示法)按人为因素划分的强化人员种族/民族、性别和年龄智力:两种文本-图像模型的横断面研究

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-人工智能的新研究e是一个报告的主题。根据来自瑞士日内瓦的新闻报道,NewsRx记者,研究称,“整合人工合成”智能(AI)进入重症监护实践可以通过提供实时预测来加强患者护理帮助临床决策。然而,人工智能模型中的偏见会破坏多样性、公平和包容性(DEI)努力,特别是在医疗保健专业人员的视觉表现方面。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According tonews reporting from Geneva, Switzerla nd, by NewsRx journalists, research stated, “Integrating artificialintelligence (AI) into intensive care practices can enhance patient care by providing real-t ime predictionsand aiding clinical decisions. However, biases in AI models can undermine diversity, equity, and inclusion(DEI) efforts, particularly in visual representations of healthcare professionals.”

Key words

Geneva/Switzerland/Europe/Artificial Intelligence/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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