Category: Artificial Intelligence

Algorithms and the Future of Work

An algorithm is a series of precise, step-by-step instructions used by a machine to perform a mathematical operation.[1] The use of algorithm-enabled systems and devices will bring many benefits to occupational safety and health but, as with many new technologies, there are also risks to workers. A new commentary in the American Journal of Industrial Read More >

Posted on by John Howard, MDLeave a comment

100 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 certificates and other sources, we could only dream that our efforts would be this successful. A Tool to Advance Research, and It’s Free We Read More >

Posted on by Jennifer Cornell, JD; Stacey Marovich, MHI, MS; and Amy Mobley, MEn1 Comment

The 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 safety and health (OSH). A central challenge will be ensuring the equitable distribution of work-related benefits and risks that accompany these transformations. To meet this challenge, Read More >

Posted on by Laura Syron, PhD, MPH; Marie-Anne S. Rosemberg, PhD, MN, RN, FAAOHN; Michael A Flynn, MA; Jacqueline Sivén, PhD, MA, MPH; Andrea Steege, PhD, MPH; Sara L. Tamers, PhD, MPH3 Comments

Using Machine Learning to Code Occupational Surveillance Data: A Cooperative Effort between NIOSH and the Harvard Computer Society – Tech for Social Good Program

  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 (NEISS-Work) to study and understand nonfatal occupational injuries. Collected through an interagency agreement with the Consumer Product Safety Commission, NEISS-Work captures hospital emergency department-treated occupational injuries to paid, self-employed, Read More >

Posted on by Gavin Lifrieri and Suzanne Marsh, MPA1 Comment

The 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 drive, receiving recommendations from Netflix on what to watch, or using face detection to logon to a personal smartphone, the use of AI Read More >

Posted on by Jay Vietas, PhD, CIH, CSP4 Comments

Artificial 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 improving the cost-effectiveness and coordination of occupational safety and health (OSH) surveillance systems. NAS’s report recommended that the federal government use recent advancements in machine Read More >

Posted on by Sydney Webb, PhD; Carlos Siordia, PhD; Stephen Bertke, PhD; Diana Bartlett, MPH, MPP; and Dan Reitz15 Comments

Artificial 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 Research (CORR) and posting blogs such as A Robot May Not Injure a Worker: Working safely with robots. However, much remains unknown regarding the related Read More >

Posted on by John Howard, MD53 Comments

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 Priorities, Ohio, 2001 to 2011” with an Adolph G. Kammer Merit in Authorship Award for the best article published in their journal last year. The article details how researchers used Read More >

Posted on by Alysha R. Meyers, PhD, CPE6 Comments