In this blog, the Kansas Health Institute outlines foundational steps for developing an artificial intelligence (AI) policy and offers a practical starting point for organizations considering AI — or questioning whether to explore it at all.
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The age of AI has arrived. Public health leaders must not stand on the sidelines.
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This blog post focuses on the reasons why public health should be at the forefront of AI dialogue at all levels, highlights several AI-related efforts in Kansas, and provides ideas for next steps.
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AI presents major opportunities for health organizations, and this article presents five challenges, five risks, and five steps leaders can take to use AI successfully and responsibly.
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Leveraging Twitter data and deep learning, this research provides a comprehensive insight into public sentiment towards soda taxes, highlighting the role social media can play in policy making.
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New technologies such as ChatGPT, an artificial intelligence natural language processing tool, have the potential to benefit public health but must be approached with caution.
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Disclaimer: Check out the first part of this series, HOW DO MACHINES LEARN? PART I: THEY TRAIN. History is filled with amazing brawls, but some stand out above the rest: Ali vs. Frazier. Tyson vs. Holyfield. Generator vs. Discriminator. * record scratches * Ok, that last one sounds like it came from the last Transformers movie. And, honestly, it sorta
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Machine Learning and Artificial Intelligence are common buzzwords that seem to be everywhere in 2019. Every corner of society is affected by the rise of the machines along with a sense of wonder and fear as to what this means for humanity. Will the machines take all of our jobs? Can machines really think, and at what point do we
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