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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 ...
One way experts believe AI could be a key unlock in the future of health care is its ability to help organize and analyze data. That could help reveal patterns and behaviors that need to change to ...
Workplace health surveillance, the collection and analysis of health data on workers, is challenging for AI because labor data are often reported in aggregate and does not provide breakdowns between different types of work, and is focused on economic data such as wages and employment rates rather than skill content of jobs. Proxies for skill ...
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.
A high-level overview of some of the more prevalent challenges employers may encounter when deploying AI in the workplace, and guidance on the proactive steps employers should consider.
In August 2023, Arati Prabhakar, the director of the Office of Science and Technology Policy, indicated that the White House was expediting its work on executive action on AI. [13] A week prior to the executive order's unveiling, Prabhakar indicated that Office of Management and Budget (OMB) guidance on the order would be released "soon" after.