AI and Workers’ Comp
The Journal of Occupational and Environmental Medicine just awarded the article “Applying Machine Learning to Workers’ Compensation Data to Identify Industry-Specific Ergonomic and Safety Prevention...
View ArticleArtificial Intelligence: Implications for the Future of Work
What does Artificial Intelligence (AI) have to do with workplace safety and health? NIOSH has been at the forefront of workplace safety and robotics, creating the Center for Occupational Robotics...
View ArticleArtificial Intelligence Crowdsourcing Competition for Injury Surveillance
In 2018, NIOSH, the Bureau of Labor Statistics (BLS), and the Occupational Safety and Health Administration (OSHA) contracted the National Academies of Science (NAS) to conduct a consensus study on...
View ArticleThe Role of Artificial Intelligence in the Future of Work
As discussed in a previous NIOSH Science Blog, artificial intelligence (AI) is in the process of transforming almost all aspects of society. Whether using an application to determine the best route to...
View ArticleUsing Machine Learning to Code Occupational Surveillance Data: A Cooperative...
The National Institute for Occupational Safety and Health (NIOSH) depends on surveillance data collected through the occupational supplement to the National Electronic Injury Surveillance System...
View ArticleThe Role of Demographics in the Future of Work
The future of work continues to be shaped by ongoing changes in the workplace, work, and workforce. Shifting workforce demographics will present both opportunities and challenges for occupational...
View Article100 Million and Counting!
When researchers at the National Institute for Occupational Safety and Health (NIOSH) set out to develop a tool that could improve the use of industry and occupational data from surveys, death...
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