# AI in Occupational Health & Safety

- Institution: CERN
- Speaker: Shian Yada
- Year: 2026
- Language: English
- Subjects: Medicine and health
- Source: [CERN](https://videos.cern.ch/record/3025542)
- Licence: [CERN](https://copyright.web.cern)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

Artificial Intelligence (AI) is rapidly transforming Occupational Health & Safety (OHS), offering innovative solutions for enhancing workplace safety and health. This presentation introduces the fundamental applications of AI in OHS, positioning AI as a crucial supportive tool designed to augment, not replace, human expertise. We will explore AI's potential to revolutionize and enable proactive risk communication. A key focus will be on AI's contributions to risk communication, an area where its impact can be profound. AI can significantly improve how OHS information is disseminated and understood across various stakeholder groups: • Public Communication: AI can personalize safety messages, analyze public perception of risk, and tailor educational content to different demographics, making complex OHS information more accessible and engaging. • Leadership/Management Communication: AI-powered dashboards and predictive analytics can provide leaders with clear, concise, and actionable insights into OHS performance, benchmarking, facilitating informed decision-making and resource allocation. • Worker Communication: Through interactive modules, personalized training, and real-time alerts delivered via wearable devices, AI can improve workers' understanding of hazards and safe work practices. This is particularly valuable for complex and nuanced risks, such as communicating the dangers and necessary precautions associated with beryllium exposure, ensuring that critical knowledge is effectively transferred and retained. While AI offers immense promise, it is imperative to address significant challenges, including implementation costs, data quality, algorithmic bias, privacy concerns, and the 'black box' nature of some AI systems. Ultimately, this presentation underscores the enduring necessity of a "human-in-the-loop" approach, emphasizing that human critical thinking, nuanced judgment, ethical consideration, and effective risk communication remain indispensable.…

## Lectures

1. [AI in Occupational Health & Safety](https://invisiblenetwork.ai/learn/cern/3025542/9149a9bcb488), 20 min (CERN's player)