How artificial intelligence is revolutionizing jobs – occupational health and safety


How artificial intelligence is revolutionizing jobs

Synchronous work between people and technology will change the way we work.

Artificial intelligence (AI) is changing the world around us. From the way we travel to the way we communicate, it has become part of our daily lives. It is used in agriculture to kill weeds, resulting in higher crop yields without requiring additional resources. It helps protect your finances by helping banks monitor fraudulent transaction patterns and alerting you to fraudulent transaction patterns. Chatbots provide quick answers to short questions, allowing support agents to spend more time with customers for more pressing needs. Sports coaches are using AI to closely monitor the effects of games on athletes’ bodies and prevent injuries, while using the same technology to hone their skills beyond what was previously possible. And recently, the field of air quality is also advancing thanks to AI.

From the Stone Age to the Information Age and beyond, technology has continually transformed the way people work. AI has been described as the “fourth industrial revolution” and with this emerging technology, companies are learning to combine AI and the human worker to achieve better outcomes. This type of synchronous work solves problems that have plagued people for years.

Occupational safety is always a concern for plant owners. OSHA reported over 5,000 worker deaths in 2019. To make facilities safer for workers, some organizations are turning to AI-based solutions. Some safety professionals use AI to sort through records and incident reports, observations and inspections to identify near misses or incident patterns. By training the AI ​​with these sophisticated datasets, new patterns can emerge that help operators know if specific incidents are occurring at the same time of day or in specific regions of a facility. Machine learning excels in situations where traditional statistical analysis falls short. Machine learning can process datasets with potentially hundreds of inputs and outputs to make decisions and predictions, and unlike statistical analysis, machine learning can do this without knowing the underlying probability distribution for the variables. By harnessing the power of data in this way, organizations can make changes that improve worker safety that we could never have achieved using traditional methods.

This article originally appeared in the September 1, 2022 issue of Occupational Health & Safety.


Comments are closed.