New webinar: Using AI to Prevent Accidents of the Future

We’ve just added a new webinar to our library, featuring Professor Fiona Macleod’s thought‑provoking reflections on the role of Artificial Intelligence (AI) in process safety.

In this session, Professor Macleod asks if Large Language Models (LLM) can use past report to predict the accidents of the future (with thanks to Hayley Little), whether the huge advances in computing power and machine learning can be used to transform the way industry interprets data, identifies patterns and anticipates risks (with thanks to Louis Allen at Kausalyze) whether process safety risk identification tools designed for human teams (like HAZOP) are the right focus for AI and what else can we do to take the best combination of human adaptability and machine repeatability to prevent the accidents of the future.

Thanks also to Ramin Abhari (graphic novels), Peter Marsh (Accident one-page summaries) and Joanna Springett (6 stage human factors studies).

If you missed the live event in New Plymouth, New Zealand, you can now watch the recording at your convenience.

Speaker

Fiona Macleod, Chief Technical Officer, IChemE

Fiona is a Chartered Engineer and Fellow of IChemE with 40 years of hands-on industrial experience in major hazard management in the chemical and power industries, while working in design, construction, commissioning, production, maintenance, and senior management all over the world. After 40 years in industry, Fiona switched to teaching process safety at Sheffield University, UK and joined the IChemE Safety Centre as Chief Technical Officer.