A few years ago, it was only human judgment that organizations could rely on to evaluate the safety of the workplace, which took a lot of time and effort. Today, things have changed drastically. With artificial intelligence, businesses can predict issues that may take place in the workplace and offer effective fixes, preventing escalation.
The Role of AI in Risk Assessment
How did employers address safety concerns a decade ago? They would have to take a tour to explore all on-site locations, speak to employees to understand what bothers them, and then, based on what they saw and heard, make their own judgment about potential hazards.
The downside? This approach could not guarantee that every risk was counted. At the end of the day, we are all humans, and what worries one person doesn’t necessarily be a problem for someone else, which inevitably leads to biases in opinion.
Furthermore, employers can’t physically foresee all possible scenarios that may unfold in the workplace. Their inspections are limited to the present situation, which means many of the risks that could happen go unnoticed before the actual accident occurs.
That’s where AI comes into play. With its ability to analyse massive volumes of data in mere seconds – and do it with impressive accuracy – it can predict potential hazards without requiring the physical presence of inspectors. More importantly, it can reduce biases and stay on guard of your workplace safety at all times.
Why Use AI Tools in the Workplace
If you’ve been thinking about implementing AI but haven’t done so already, here are a few important benefits that can tip the scale in favour of this cutting-edge technology for you. AI doesn’t just speed up risk assessments. Above everything, it helps create a safer work environment in ways that were simply not possible before.
Predictive Risk Management
Where artificial intelligence beats humans hands down is in the ability to foresee hazards. Because it doesn’t just analyse current conditions, but digs deeper, analysing both real-time and historical data, it can predict situations that may happen long before the slightest sign appears.
Source - hse-network.com
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