#Artificial intelligence
Artificial Intelligence (AI) in occupational health and safety management. Moving to predictive analytics. Cases on neural networks analyzing Big Data, forecasting incidents, and tailoring training.
AI Prompting: A Fundamental Skill for the HSE Specialist of the Future
Integration of artificial intelligence into the daily tasks of an HSE specialist through mastering prompting skills and using no-code platforms. Practice includes automating routine processes, delegating analytical tasks to AI assistants, and transitioning to the Prompt First paradigm to improve management system efficiency.
HSE as the Spark of Digital Transformation: How We Launched AI in the Company
Phased implementation of AI tools in the HSE processes of a large industrial company. The initiative began with creating simple chatbots for risk assessment and PPE without programmers, which engaged management and led to deploying an in-house local LLM within a closed security perimeter.
AI and Machine Vision in HSE: From Idea to Launch
Implementation of a machine vision system based on the Open Source MoonDream model to monitor PPE usage and sanitary compliance in food production. The system analyzes real-time video streams, sends violation alerts to a Telegram bot for responsible managers within 15 seconds, and is accompanied by a positive employee motivation program without fines.
AI as a Content Factory
The use of generative neural networks to create training materials and visualize HSE risks. The practice includes using text, graphic, and video AI models to accelerate course development, translate into foreign languages, and create realistic briefings without involving third-party contractors.
Contractor Risk Management: From Blind Spots to a Barrier System
Implementation of an end-to-end contractor risk management system focusing on maintenance work. Using digital tools (Power BI dashboards, electronic permits-to-work, heat maps) for online monitoring and management decision-making.
Safety Culture: How to Ensure Gen Z Engagement in Safe Leadership and Management?
Integrating safety culture markers into management system documentation and using unconventional youth formats (rap compositions) to engage Gen Z in eco-safety and HSE issues. Using AI bots to automate routine tasks for HSE specialists, such as writing plans and initial assessment of non-conformities.
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Strategic Health Protection Session: Q&A
A comprehensive approach to employee health management, including the use of anonymized VHI data to form risk groups, organizing "Health Schools," and nutrition control at remote sites. The practice demonstrates the importance of management engagement and adapting programs to the real needs of the staff, including the provision of medications on foreign projects.
The "Digital Oracle" Illusion: Why AI in Safety Remains a Calculator, Not an Expert
The implementation of artificial intelligence in occupational health and safety creates a dangerous illusion of automatic elimination of workplace risks, although technically AI remains a probability calculator that does not understand real context. The author relies on practical experience working with neural networks since 2024 and details the pitfalls of digitalization: from hidden financial costs and "metric blindness" to the risks of algorithmic hallucinations. The material shows why AI sho...
AI User Guide: Your Personal Content Laboratory
Artificial intelligence is capable of becoming a personal content laboratory for creating text, visuals, video, and voiceovers. The article examines the features of popular neural networks, the specifics of multimedia content generation, and a step-by-step experiment in quickly creating a video. The material shows how the practical application of AI helps improve the quality of communications, especially in the field of occupational health and safety.
Digitalization in HSE: Russian and International Experience
The implementation of modern IT solutions in occupational health and safety allows for a transition from incident response to proactive risk management. The article examines key digital tools, compares digitalization approaches in Russia and abroad, and analyzes the prospects of applying artificial intelligence, industrial IoT, and robotics. The material helps to understand how digital technologies make occupational safety processes smarter and more efficient, and what steps are necessary for th...
Safety Compass: How AI is Changing the DNA of HSE
Using generative neural networks and low-code platforms (Replit, Bolt) to automate routine tasks for HSE specialists. The "Health Compass" system was developed to monitor epidemiological risks for traveling employees, along with dashboard prototypes for incident forecasting and categorization.
Analytics as a Management Philosophy
The article is dedicated to industrial safety analytics as an intelligent tool for transitioning from reactive incident investigation to proactive risk management. Based on data from equipment, audits, and video surveillance systems, the modern approach allows predicting incidents and identifying their hidden root causes. This helps enterprises allocate resources to safety in a targeted manner and make management decisions based on accurate data rather than intuition.