How artificial intelligence is revolutionizing jobs
The synchronous work between humans 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, which increases crop yield without the need for additional resources. It helps protect your finances by helping banks monitor and alert you to fraudulent transaction patterns. Chatbots provide quick answers to quick questions, allowing support agents to spend more time with customers on more pressing needs. Sports coaches are using AI to closely monitor the impact of games on athletes’ bodies to help prevent injuries, while using the same technology to improve their skills beyond what was possible before. And recently, even the field of environmental air quality is also advancing, thanks to AI.
From the Stone Age to the Information Age and beyond, technology has continuously changed the way humans work. AI has been described as the “fourth industrial revolution” and with this emerging technology, companies are learning to pair AI and the human worker to achieve better results. This type of synchronous work is how problems that have plagued humans for years are solved.
Worker safety is always a concern for facility owners. OSHA reported more than 5,000 worker deaths in 2019. To make facilities safer for workers, some organizations are turning to AI-based solutions. Some safety professionals are using AI to sort through datasets and incident reports, sightings and inspections to identify near-misses or patterns of incidents. By training AI on these elaborate datasets, new patterns can emerge to help operators know if particular instances 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 data sets with potentially hundreds of inputs and outputs to inform decisions and predictions, and unlike statistical analysis, machine learning can do this without knowing the probability distribution under underlying for variables. Harnessing the power of data in this way enables facilities to make changes that improve worker safety that we could never have experienced using traditional methods.
This article originally appeared in the October 1, 2022 issue of Occupational Health and Safety.