摘要
一位新闻记者兼机器人与机器学习每日新闻的工作人员新闻编辑-人工智能的新研究是一份新报告的主题。根据NewsRx编辑在纽约布法罗的新闻报道，研究表明，"机器学习算法所代表的人工智能模型是有前途的风险评估工具，用于指导临床和其他医疗保健决策。"这项研究的资助者包括Nih Nlm。我们的新闻编辑从纽约州立大学(SUNY)水牛城分校的研究中获得了一句话：“然而，机器学习算法可能包含偏见，传播刻板印象、不平等和歧视，这些偏见导致了社会经济医疗保健的差异。这些偏见包括与社会经济人口特征有关的偏见，如种族、民族、性别、年龄、保险、医疗保险、医疗保险等。”使用错误的电子健康记录数据造成的社会经济地位。此外，有人担心，大型语言模型中的培训数据和算法偏差会带来潜在的缺陷。这些偏差会影响美国和全球相当一部分人口的生活和生活。相关反弹的社会和经济后果不可低估。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on artificial intelligence is the su bject of a new report. According to news reporting out of Buffalo, New York, by NewsRx editors, research stated, “Artificial intelligence models represented in machine learning algorithms are promising tools for risk assessment used to guid e clinical and other health care decisions.” Funders for this research include Nih Nlm. Our news editors obtained a quote from the research from State University of New York (SUNY) Buffalo: “Machine learning algorithms, however, may house biases th at propagate stereotypes, inequities, and discrimination that contribute to soci oeconomic health care disparities. The biases include those related to some soci odemographic characteristics such as race, ethnicity, gender, age, insurance, an d socioeconomic status from the use of erroneous electronic health record data. Additionally, there is concern that training data and algorithmic biases in larg e language models pose potential drawbacks. These biases affect the lives and li velihoods of a significant percentage of the population in the United States and globally. The social and economic consequences of the associated backlash canno t be underestimated.”
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