Confined spaces are dynamic environments where gas levels, airflow, and temperature can shift in seconds. AI-based atmospheric intelligence is helping safety teams move beyond threshold alarms to predictive, real-time risk interpretation.
New research from the ASSP outlines how AI tools are transforming risk assessment and reporting for EHS experts.
Workers may feel safe, but many can’t identify safety systems or report hazards. Experts warn the growing gap between perception and real protection.
AI is rapidly expanding in construction safety, but poor implementation can create alert fatigue, mistrust, and a false sense of security. Workforce-centered deployment is critical for real risk reduction.
OSHA requires PPE to properly fit each worker. Learn how poor PPE fit creates compliance risk, common violations, and how employers can build a defensible fit program.
New Products feature roadway safety technologies at its 2026 Traffic Expo, highlighting innovations designed to reduce worker exposure and improve work zone safety.
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Forklift safety expert Jackson Phillips discusses how AI-powered collision avoidance is helping manufacturers and warehouses move from reactive safety measures to proactive prevention.
Chronic staffing shortages raise risks for health care workers and patients, but automation can help—if applied thoughtfully and with human oversight.
The 2026 State of the Skilled Trades report from NFPA finds workers expect more AI on the job but want stronger training and protections as labor shortages persist.
The latest update to NFPA LiNK introduces AI-powered tools and workflow enhancements designed to help safety professionals apply codes and standards faster, more accurately, and with greater confidence.
Stories about near misses, lessons learned, and everyday work can bridge the gap between written safety rules and real-world behavior—when used thoughtfully and supported by leadership and technology.
Why traditional safety metrics fail to prevent serious injuries and fatalities—and how AI helps EHS teams identify PSIF risks before life-altering events occur.
A decade of change in safety practice highlights the growing importance of foresight in managing risk and organizational performance.
As digital safety tools become central to occupational health, organizations are rethinking how they protect lone and vulnerable workers through automation, smarter communication, flexible protocols and stronger safety cultures.
AI is increasingly used to predict risks, prevent injuries, and support long-term safety decision-making, while raising important questions about governance, ethics, and worker trust.
As facilities push for higher efficiency and stronger safety compliance, AI-powered cameras, predictive alerts, and advanced forklift lighting systems are redefining visibility, reducing near misses, and creating a proactive, data-driven approach to pedestrian and equipment safety.
Next-generation detection technology and human-first design are turning safety into a performance advantage, giving operators greater confidence and improving workflow efficiency.
Companies are rapidly making AI use an expectation for employees, but the shift brings new challenges for EHS professionals who must balance productivity gains with protecting sensitive personal, operational, and proprietary information.
As AI tools become part of everyday work, employers are using technology to detect hazards and strengthen training—but true protection for young and inexperienced workers still requires awareness, communication, and a strong safety culture.
As manufacturing injuries remain high, facilities are turning to AI, smart sensors, predictive maintenance and wearables to detect hazards faster and prevent common production-floor incidents.