How do these technologies work?
Posted: Sat Jul 12, 2025 4:22 am
It's important that companies and governments work together to ensure the ethical and responsible use of AI and ML. This includes developing regulations to ensure transparency and accountability in the use of this technology.
In short, the increased use of AI and ML has the potential to bring many benefits to businesses and society at large, but it is important to address concerns surrounding their use responsibly and ethically.
Artificial intelligence (AI) and machine learning (ML) are two technologies that have been increasingly used in various areas, including industry and the occupational safety sector.
These technologies have the potential to optimize processes, make decision-making more shop efficient, and prevent accidents and human error.
To understand how these technologies work, let's use some examples of companies that can adopt them.
Imagine that a stainless steel pipe manufacturing company wants to improve its safety processes, especially with regard to regulatory standard NR33, which addresses safety conditions in confined spaces.
The company could use AI and ML to analyze data about past accidents and, from that information, develop predictive models to prevent future accidents.
These models could consider factors such as working time in confined spaces, proper use of protective equipment, and adequate employee training, such as NR33 training .
In short, the increased use of AI and ML has the potential to bring many benefits to businesses and society at large, but it is important to address concerns surrounding their use responsibly and ethically.
Artificial intelligence (AI) and machine learning (ML) are two technologies that have been increasingly used in various areas, including industry and the occupational safety sector.
These technologies have the potential to optimize processes, make decision-making more shop efficient, and prevent accidents and human error.
To understand how these technologies work, let's use some examples of companies that can adopt them.
Imagine that a stainless steel pipe manufacturing company wants to improve its safety processes, especially with regard to regulatory standard NR33, which addresses safety conditions in confined spaces.
The company could use AI and ML to analyze data about past accidents and, from that information, develop predictive models to prevent future accidents.
These models could consider factors such as working time in confined spaces, proper use of protective equipment, and adequate employee training, such as NR33 training .