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Artificial Intelligence Coalition is Announced by Industry Leaders

The Artificial Intelligence Industry Innovation Coalition was formed by leaders in healthcare, academia, and technology (AI3C). Experts from the Brookings Institution, Cleveland Clinic, Duke Health, Intermountain Healthcare, Microsoft, Novant Health, Plug and Play, Providence, UC San Diego, and the University of Virginia will collaborate with the group. The partnership intends to develop technology that would provide advice, tools, and best practises for AI in healthcare, according to the statement.

The newly formed AI3C’s mission is to form a pragmatic Coalition with public and private groups to enhance health by identifying and solving major societal and industry impediments. The AI3C board of directors will endeavour to develop AI solutions that benefit society and healthcare, identify and set the AI strategy and vision for diverse projects, and track the industry’s AI adoption progress. Each collaboration partner has appointed AI ambassadors to serve as regional leaders and programme drivers.

According to the press release, all members of the Coalition have an equal say in how it is administered and governed. The AI3C partnership aims to use artificial intelligence to solve major business problems, such as general economic and industrial concerns, digital skills and employability, and data privacy. Additionally, by demonstrating new AI tools, obtaining research feedback, and educating students for AI and data science employment, AI3C will drive AI innovation and acceptance.

In order to make AI more impactful, the alliance will connect with the healthcare community through white papers, new tools and initiatives, and social media engagement. In addition, the group will have quarterly meetings and events to demonstrate how AI is being used to solve problems. The AI3C will also provide recommendations and offer advise on a variety of AI-related themes, including responsible healthcare innovation, health equity, and workforce transformation to reduce clinical fatigue.

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