EHS Professionals Share How They Are Using AI to Make Workplaces Safer
As the American Society of Safety Professionals (ASSP) charts its artificial intelligence strategy, early-adopting members are demonstrating that AI can meaningfully enhance workplace safety, even though most EHS professionals remain in the knowledge-gathering phase rather than actively deploying the technology, according to a white paper from the ASSP.
“As part of ASSP’s AI strategy, we are laser-focused on how AI can help our members make their workplaces safer,” said Stephanie Johnson, director-at-large and chair of the ASSP AI Task Force, which produced the report. “As AI becomes more integrated into safety professionals’ daily work, now is the moment for our profession to help shape its ethical, transparent and responsible use. AI adoption can begin at a small scale, and together we can use these tools to advance workplace safety for all.”
The report highlighted how several ASSP members are already leveraging AI to solve real workplace challenges.
Saif Ahmad, a senior EHS specialist at Kuwait Oil Company, built a machine learning model to extract insights from his company’s accident data without formal coding experience. Working with Google Gemini to write initial code, then refining it with Claude before summarizing with ChatGPT, Ahmad discovered useful patterns in incident trends that sparked meaningful conversations between operations and safety teams about root causes.
Christina Brundage, an EHS specialist at a Cargill ground beef facility, uses AI to streamline her daily work. Tasks that previously consumed three days now take one day, and she leverages the technology to make training materials accessible to workers with varying educational backgrounds.
Meanwhile, Chet Brandon, director of global EHS for Hexion, created a “digital twin” of himself by feeding his presentations and documents into an AI system, allowing it to provide knowledge to coworkers when he is unavailable.
These examples illustrate a broader opportunity: according to a survey of ASSP members conducted in 2025, while most respondents were familiar with AI and expressed interest in professional applications, the vast majority had not yet reached the implementation stage.
Building Competency While Managing Risk Aversion
The path forward requires addressing a fundamental challenge in the EHS profession: practitioners are risk-averse by nature, and many decision-makers share that orientation, according to the report.
Rick Barker, senior director of product management and strategy for VelocityEHS, recommends that professionals start with low-risk experiments like prompt engineering on existing safety plans.
“If you haven’t done anything before with prompt engineering, that becomes a good spot to practice different variations,” Barker said. “Go find one of the introductory YouTube videos on designing good prompts and try out different prompts or refinements.”
Natasha Porter, chief customer officer for Benchmark Gensuite, advises organizations to link AI exploration directly to pressing business problems rather than treating it as a standalone initiative. By identifying the top two or three EHS challenges and piloting AI solutions in those areas, companies increase the likelihood of securing stakeholder buy-in and funding for expansion, she said.
Arianna Howard, a task force member who is partner and co-founder of the Syncra Group consultancy, references a concept from Wharton professor Ethan Mollick: the “10-hour rule.” According to this principle, professionals need approximately 10 hours of hands-on AI experience to understand its potential applications.
“By the time people get to the 10 hours of use, they’re bought in,” Howard explained. “But until they hit the 10-hour threshold, it still feels scary.”
Maintaining critical thinking skills alongside AI deployment is essential, the ASSP report said.
When Brandon used AI to research overpressure protection for chemical reactors, the system provided data for pressure relief valves instead of the rupture disks he had requested. His decades of experience caught the error immediately, but he worries less experienced professionals might overlook such mistakes.
ASSP Positions Itself as Knowledge Authority
The ASSP AI Task Force has established four guiding principles for responsible AI implementation: trust, transparency, equity, and privacy. The organization plans to build a resource center featuring case studies, research papers, and member success stories to help practitioners evaluate AI applications and understand real-world results.
Advanced implementations are already showing measurable results, ASSP said.
Research presented by task force member Marla Corson, president of Corson Consulting and Speaking, and former director of workplace safety and health for Amazon, drew on work developed through Amazon Web Services and used by the NFL to improve player safety.
Video analytics using computer vision technology and machine learning algorithms help identify hazards and predict injury thresholds. At Amazon fulfillment centers, these same techniques identified safety risks before incidents occurred, she said.
Construction industry data highlighted both opportunity and resistance: a 2023 study found that wearable sensing technology could have prevented 34 percent of construction deaths and fatalities, yet 46 percent of construction workers were unwilling to use biometric sensors, and 59 percent rejected tracking devices.
Moving forward, ASSP task force chair Johnson acknowledged that engagement with AI is no longer optional for the profession.
“I have to understand it, and I have to know how to use it if I want to be relevant in the next few years,” Johnson stated.
Obtain the report here. &

