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The second issue that must be addressed for a sustainable AI future in healthcare is a lack of cybersecurity within devices. Currently there is an incentive to being the first to market with new products and having those products work, and the focus is on R&D. However, ensuring that these devices are protected from outsider attacks is costly and time consuming and often done after the fact. In a similar way that the federal government provides funding to schools and other research areas, a similar alleviation of cost of security would help ensure that products are secure before reaching the market, not done afterward.

Establishing partnerships between the federal government and academia is a great way to ensure that the future of AI remains bright. These programs that develop and foster the relationship between the two must be increased in size and magnitude, or else the United States risks falling behind other countries and private corporations as the leading developer of AI.

AI is a disruptive technology that will change our lives in one way or another. By addressing issues while the developments of AI are still young, it can be ensured that AI becomes a tool that is constructive rather than being used as a weapon for destruction.

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