NIEHS WTP Spring Meeting and Workshop · New Brunswick, NJ
AI should make worker safety training more personal, more practical, and more accountable.
First Pro helps training centers turn real hazards, workplace conditions, and learner context into adaptive decision training, so workers can practice the choices they may one day have to make under pressure.
If you were in Brad’s session on AI and the future of worker safety and health training, this page is the place to download the slides, request a demo, and start a conversation about what First Pro could build for your training center.
Dr. Brad B. Miller is the Founder of First Pro and an Adjunct Lecturer in the School of Information Science at the University of Illinois at Urbana-Champaign.
Built for people responsible for hazardous conditions training, emergency response readiness, and worker safety outcomes.
From the 10-minute session
The point is not to replace the trainer. The point is to raise the quality of every training rep.
The best worker safety training is specific. It reflects the hazards workers actually face, the decisions they are responsible for making, the language and literacy realities in the room, and the conditions that can make a routine job become dangerous.
AI is useful when it helps training centers do more of that work, not less. It should help instructors create better scenarios, adapt examples to different worker populations, surface misunderstandings earlier, and document whether training is building usable judgment.
The question is no longer whether AI will affect the workplace. It already is. The better question is whether worker safety and health training will shape how AI is used for the people whose jobs expose them to real risk.
For WTP awardees and training partners
You are not training a generic workforce.
You may train people whose work involves hazardous materials, waste operations, emergency response, disaster cleanup, construction, health care, transportation, chemical and manufacturing facilities, agriculture, or another high-risk setting. The common thread is not a single industry. It is your responsibility to help workers carry training into the real world.
That is why AI cannot be treated as a content shortcut. In this setting, AI has to support your craft of training. It has to respect instructors, strengthen curriculum, adapt to local context, and help you see whether learners are prepared to recognize hazards, make decisions, and protect themselves and the people around them.
For training directors
Use AI to expand scenario quality and relevance without asking your team to start every exercise from a blank page.
For instructors
Give trainers better prompts, better variations, and better discussion material while keeping human facilitation at the center.
For evaluators and grant leaders
Move beyond attendance and completion records toward evidence of decision-making, hazard recognition, and readiness.
AI is becoming part of the workplace
Workers will meet AI on the job. Training should help them meet it wisely.
AI will show up in safety systems, monitoring tools, training platforms, reporting workflows, translation, documentation, exposure analysis, and operational decision support. Some uses will help. Some will create new risks. Some will be adopted before workers, supervisors, and trainers have had time to build a shared understanding of what the tools can and cannot do.
That is why WTP training centers have an important role to play. The people closest to worker safety should not be the last people shaping how AI enters safety and health training. They should be among the first to define what responsible, worker-centered use looks like.
“The future of AI in worker safety should not be written only by software vendors. It should be shaped by the people who understand workers, hazards, instructors, and the conditions of the job.”
What we are building
First Pro turns hazard intelligence into adaptive decision training.
First Pro is building an intelligent operating system for safety preparedness. The platform helps training organizations create role-specific scenarios, tabletop exercises, and after-action records based on the hazards, incidents, procedures, and learner contexts that matter.
For WTP training centers, the opportunity is straightforward: use AI to make training more personal without making it less rigorous, more scalable without making it generic, and more measurable without reducing learning to a checkbox.
Scenario generation
Convert a hazard, incident type, worksite condition, or training objective into a realistic decision scenario that can be used in class, online, or as a discussion prompt.
Learner-specific variation
Adapt examples for different roles, literacy levels, languages, work settings, and levels of experience while preserving the instructor's training intent.
Instructor support
Give instructors discussion prompts, likely misconceptions, follow-up questions, and scenario variations that make facilitation easier.
Tabletop exercises
Build group exercises around evolving conditions, injects, communication breakdowns, and coordination decisions.
Readiness evidence
Capture patterns in learner decisions, misunderstood hazards, and training gaps that can inform future curriculum and reporting.
Request a demo
See what we are building for the Midwest Consortium.
First Pro is building with the Midwest Consortium for Hazardous Waste Worker Training to explore how AI can support hazardous conditions training in a way that is practical, worker-centered, and useful to instructors.
If your training center is exploring AI, scenario-based training, improved documentation, or better ways to personalize learning, Brad would be glad to show you what we are building and talk through what might be useful in your context.
No pitch deck required. Bring a training problem, a curriculum challenge, or a scenario you wish your team could build faster.
What this could look like
A training scenario can start with one realistic decision.
Unknown Chemical Odor During Cleanup
Scenario context
A worker on a cleanup crew notices a sharp odor near a damaged container. The label is partially unreadable. A coworker suggests moving the container outside before the supervisor returns because the crew is behind schedule.
What should the worker do first?
Workshop materials
Download the slides from the session.
Enter your email and tell us who you represent. We will send you the slides from Brad’s First Pro presentation and the slides from Chris Hanson’s University of Illinois Hazmat Training Program presentation. Chris also spoke at the workshop, but this form and all follow-up on this page are for Brad and First Pro.
Slides
Dr. Brad B. Miller, First Pro
AI, personalization, and the future of worker safety and health training.
Slides
Chris Hanson, University of Illinois Hazmat Training Program
Workshop slides from the University of Illinois Hazmat Training Program.
Ways to collaborate
Bring us the training problem you wish AI could help solve.
Every WTP training center has a different mix of workers, hazards, instructors, geographies, languages, funding requirements, and curriculum constraints. First Pro is most useful when it starts with that reality.
Scenario libraries for specific hazards
Build reusable scenarios around hazardous waste operations, disaster cleanup, chemical exposure, emergency response, confined spaces, heat, infectious disease, lithium-ion batteries, or other training priorities.
Instructor copilots
Help instructors generate discussion prompts, misconception checks, role-play variations, refresher questions, and learner-specific adaptations.
Tabletop exercise builders
Create multi-role tabletop exercises with injects, decisions, after-action notes, and follow-up actions.
Training evidence tools
Capture what learners struggled with, what hazards were misunderstood, and what patterns should inform future curriculum.
Multilingual and literacy-aware adaptation
Explore ways to adapt training prompts and scenarios for different learner needs without diluting the safety message.
AI should make training more human where it matters most.
The promise is not faster content for its own sake. The promise is better preparation: training that reflects the worker, the hazard, the job, the language, the conditions, and the decisions that determine whether people go home safe.
If that is the future of AI in worker safety and health training that you want to help shape, Brad would be glad to talk.
Common questions