Jobsite Safety

Many construction companies use hazard reporting systems to engage the workforce in creating a safer work environment. These systems often incorporate some form hazard identification report that workers use to identify and report hazards they observe. Implemented effectively, such tools positively impact the identification and management of safety hazards ...

To improve the output of generative AI models, we explore an exciting concept in AI development called Agentic workflow. Agentic workflows work differently than standard work with LLMs. Rather than an LLM generating its final output directly, an agentic workflow prompts the LLM multiple times, allowing it to build, step by step, a higher-quality output.

Artificial intelligence’s (AI) ability to discern patterns unapparent to the human eye is already beginning to help improve safety and performance on construction projects. And the future looks bright for more positive impact, according to panelists at a webinar sponsored by Sensera Sytems on April 23. 

Generative AI tools like ChatGPT, Bard, and others have significantly leveled the playing field in writing ability, offering benefits like how calculators assist those less mathematically inclined in performing complex calculations. These advancements allow almost anyone to produce coherent prose. But that presents a pressing concern: a growing reliance of safety consultants on generative AI ...

Many regulatory requirements require employers to develop written plans and procedures. Take, for example, OSHA Standard 1926.1153 – Respirable Crystalline Silica, which mandates employers to establish a written exposure control plan to include elements such as task descriptions, engineering controls, workplace practices, and respiratory protection.  Follow David Dunham's use of the Doc Maker GPT plug-in to to produce the OSHA documents, including housekeeping measures and necessary procedures.

AI vision is one of the most exciting advancements in artificial intelligence technology. More than other modes of AI, it’s easy to see how computer vision will enable all kinds of technologies, from automation to advances in wearable tech, like glasses. Computer vision also shows much promise in construction safety, alerting workers to hazards or tracking workplaces for emerging safety risks.

Among the many exciting new features unveiled during OpenAI’s Dev Day was the ability for users to create their own GPTs, a feature your humble correspondent has been waiting for ever since becoming familiar with generative AI. GPTs allow users to create custom Chatbots using plain English to describe what you want them to do. 

Recent updates to the paid version of the ChatGPT app have brought several valuable features to an already robust software. The app’s new features now include the ability to upload photos and files, speak to ChatGPT and hear responses in a natural voice. In this article, I’ll demonstrate how to use the photos feature as an effective hazard identification and safety planning tool.

Do you find incident investigations with contributing factors like "the worker failed to identify the hazard"? The problem with such findings is that they attribute blame to the worker without digging deeper into systemic issues that may have contributed to the incident. AI can offer alternative corrective actions using the hierarchy of hazard controls.

Recently, OpenAI released a feature that allows you to enter custom instructions for ChatGPT that it will consider in all future conversations. Such custom instructions provide specific context and your requirements in advance to ChatGPT to facilitate more accurate, useful results.

Need to create Toolbox Talks? Generative AI speeds the content creation time. And if you have an iOS (Apple) device, you can combine a clever iOS app with a generative AI app to create a Toolbox Talk Generator that will return content for a Toolbox Talk, format it, and display or deliver it as you direct. And you can use it repeatedly to create other Talks. Follow these steps ...