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A Pew Research poll found that 6 in 10 U.S. adults would feel uncomfortable if their own health care provider relied on artificial intelligence (AI) to diagnose disease and recommend treatments ...
AI is already widespread in health care. Algorithms are used to predict patients' risk of death or deterioration, to suggest diagnoses or triage patients, to record and summarize visits to save ...
In order for any potential AI health and safety application to be adopted, it requires acceptance by both managers and workers. For example, worker acceptance may be diminished by concerns about information privacy, [7] or from a lack of trust and acceptance of the new technology, which may arise from inadequate transparency or training.
For example, a survey conducted in the UK estimated that 63% of the population is uncomfortable with sharing their personal data in order to improve artificial intelligence technology. [136] The scarcity of real, accessible patient data is a hindrance that deters the progress of developing and deploying more artificial intelligence in healthcare.
Executive Order 14110, titled Executive Order on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (sometimes referred to as "Executive Order on Artificial Intelligence" [2] [3]) was the 126th executive order signed by former U.S. President Joe Biden.
In December 2018, Canada and France announced plans for a G7-backed International Panel on Artificial Intelligence, modeled on the International Panel on Climate Change, to study the global effects of AI on people and economies and to steer AI development. [53] In 2019, the Panel was renamed the Global Partnership on AI. [54] [55]
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