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Brianna White

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Staff member
Jul 30, 2019
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Artificial intelligence (AI) can be skillfully deployed to address public health concerns. In the ongoing COVID-19 pandemic, for instance, AI can improve screening and testing and accelerate vaccine and drug development. Yet any incorporation of AI solutions in the public health realm must be accompanied by a stronger sense of trust in those technologies by patients and community members, particularly those historically underserved by the healthcare system, according to a new report released today.
“Public Opinion Research on Artificial Intelligence in Public Health Responses: Results of Focus Groups with Four Communities” was prepared for AAAS as part of the Artificial Intelligence: Applications/Implications (AI)² Initiative, by a team of researchers at Marquette University and the Medical College of Wisconsin. The initiative was launched by AAAS and its partners earlier this year to contribute to the responsible development and application of AI with a goal of eliminating rather than exacerbating social inequalities.
The report summarizes findings from virtual focus groups with four diverse and historically underserved communities in southeastern Wisconsin – African American, Hispanic, Southeast Asian and Native American (First Nation) – about public understanding and trust of AI technology used to address the COVID-19 pandemic.
Continue reading: https://www.aaas.org/news/new-report-calls-input-underserved-communities-deploying-ai-public-health
 

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