AI in occupational safety

Artificial intelligence is no longer a future concept. It is now part of everyday life, disrupting industries and changing how people work, communicate, and make decisions. When I began my career in technology in the early 1990s, I believed software would transform everything. That belief was correct, although the pace of change has often been slower than investors and enthusiasts expected.

One important lesson has remained consistent across every new technology: technology makes it easier to do more. It can improve productivity, expand access to information, and automate repetitive tasks. But it can also introduce new risks, misunderstandings, and overdependence. AI is no exception.

In any technology three questions matter most: What is this? How can it help me? What are its limits? The promise of technology is real, but it usually takes time to become practical and reliable in the workplace.

At its core, AI is built on neural networks, which are designed to imitate some of the ways the human brain stores, organizes, and connects information. Like the human brain, AI can identify patterns, relate facts, and make associations. And like the human brain, it can also make mistakes, draw erroneous conclusions, or contradict itself.

What makes AI especially powerful is its ability to process many types of information. It can work with text, images, audio, video, and other forms of data. Different AI models are designed for different purposes, but the major breakthrough for many users came with large language models. These systems can understand context, connect ideas, and generate responses based on the information available to them.

Generative AI adds another layer of usefulness. It can carry on a conversation, remember context within a discussion, and help users explore ideas more deeply. That makes it especially useful in fields like OHS, where interpretation, explanation, and synthesis of complex information are essential.

Unlike a traditional database or search engine, AI does not simply retrieve information. It can also interpret, summarize, and reason with it. That is where its value lies and where its risk begins.

AI can save time, improve access to information, and support better decision making. OHS professionals often need to process large volumes of legislation, guidance documents, training materials, inspection reports, and incident data. AI can help organize that information and make it easier to understand.

AI is being used in several practical ways: such as data analysis, support translation, understand regulations, understand images and video.  These are strong use cases because they support, rather than replace, professional judgment. The real strength of AI in occupational safety is not that it thinks for you. It is that it helps you work more efficiently with more information. Used properly, it can improve clarity, reduce administrative burden, and support better analysis.

AI is only as reliable as the information it has been trained on and the quality of the input it receives. It can mix up facts, miss context, and produce confident but incorrect answers. This is especially true with generative AI, which may sound persuasive even when it is wrong. There are also legal and professional concerns. If AI gives the wrong answer, who is responsible? In a safety environment, that question matters a great deal. AI may assist with analysis, but responsibility still rests with the human user.

That is why overreliance on AI is dangerous. If users stop questioning outputs or stop thinking critically, they may become dependent on a tool that does not truly understand the situation. No matter how advanced the technology becomes, the user remains responsible for verifying the result.

I would not trust AI to catch every inspection issue, identify every legal risk, or complete calculations I do not understand. In the end, the information still comes from me, and I am responsible for what I accept and use. I once caught a simple spreadsheet error in finance: an expense with an even number that was the same amount every month for 12 months produced an odd total. Basic logic told me something was wrong. That kind of human reasoning still matters, especially when using AI. Sometimes the simplest checks are the most important.

For occupational safety professionals, AI should be treated as a tool for support, not as a substitute for judgment. It can speed up research, help organize information, and highlight patterns, but it cannot replace responsibility, experience, or professional accountability. The future of AI in OHS will depend on how wisely it is used. If applied carefully, it can improve safety work in meaningful ways. If used carelessly, it can create confusion, false confidence, and new problems. Like any powerful technology, AI can solve problems — or create them. When it comes to AI, vigilance is essential. The old saying is “trust but verify.” With AI, the better rule is verify then trust.