Leveraging technology, in service to safety
We use a number of technological tools — including algorithms, machine learning, and advanced analytics — to help us identify risks. By continually enhancing how we collect, process and share safety data, we are able to work more efficiently and effectively, while bringing more participants into the safety system.
In 2018, we expanded our use of machine learning algorithms to improve our systems' ability to predict where high risk hazards can be found. As a result of this change, experiments we undertook in 2018 showed the algorithms improved the ability to predict high hazard electrical and gas installation work by 77% and 61% respectively.
Artificial Intelligence (AI) and machine learning provide exceptional opportunities for our organization — but only if we use them in a way that aligns with our values. As we expand our algorithmic and technological capabilities we align them with an ethics roadmap, developed in partnership with local consultancy Generation R, which governs how we use technology and data for the greater good.
As part of our efforts to proactively identify risks and hazards, we are exploring sensor technology to determine if it can help improve elevator safety in the province, preventing potential incidents before they occur.