Artificial intelligence (AI) quickly transforms construction operations and safety, both in jobs and on the way between projects. For companies under pressure to meet the project deadlines and maintain safe creams, the AI is designed to reduce risk, reduce costs and improve project efficiency. However, even with the quick advances of the AI, construction gains have not materialized so quickly.
Deadly injuries in construction are still alarmingly high. By 2023 the US construction industry was recorded 1,075 deaths related to work– More than any other industry. Falls, slipping and travel counted the largest number of deaths, at 421 (39.2%). The transport incidents were followed, representing 240 more (22.3%).
With threats to U.S. jobs always present, IA -based cameras have become a critical construction security tool. Ai Dash Cams and 360 ° cameras Help crews sailing with high -risk environments with less blind points and better visibility.
AI has the potential to improve workplace safety, but only if it is accurate. To actually protect workers, construction operations need an AI that detects non -safe behavior in real time, alerting operators of imminent danger before Injuries occur.
Leading construction companies such as Ernst concrete and Phoenix Global They have shown that high quality AI and real -time risk detection can help prevent injuries, reduce accidents and bring the industry closer Zero damage.
Despite this potential, the rapid innovation and the deployment of the avant -garde AI have overcome the establishment of reliable reference points for technology, leaving construction companies uncertain about the safety and effectiveness of the AI products.
In comparison, sellers in consumer products and medical diagnosis must demonstrate their claims. In the autonomous vehicle sector, companies use platforms such as Foretellix to simulate millions of driving scenarios and validate system performance before deployment.
An increasing concern: opaque performance and anti-cenchmarking clauses
AI safety technology is equally critical, although performance metrics are rarely disclosed or verified. Alarmally, some sellers actively prevent the control of the performance and accuracy of their products.
For example, the terms of the Samsara service include clauses that prohibit clients or researchers who are referring without written permission. These “anti-Cenchmarking clauses” obscure and delete data that could be vital to workers’ safety.
These practices are not just anti-complaining: they can endanger security. When the performance data is hidden, the workers’ distraction signs can go unnoticed, the fatigue can be misrepresented, the critical risks of the workplace could be too late – or not at all – and the incidents responses could be delayed or inaccurate.
A tested alternative: independent validation and open tests
In motivation, we take a different approach: a rooted in transparency, rigor and accountability. We have followed independent evidence of our products, including Evaluations from head to toe directed by the Virginia Tech Transportation Institute (VTTI), leader in transport security research, in a report we commissioned.
In these tests, the Reason Ai Dashcam The operators successfully alerted to insecure behavior 86% of the time, surpassing leading competitors Samsara and Lytx, which had significantly lower detection rates. The results are published and published publicly and the methodology is transparent. We encourage customers to perform their own side essays to validate these findings.
In motivation, we welcome comparisons because this is how confidence is built, continuous improvement is achieved and security is improved.
A call to action: Standards to the entire industry for safety tools fed by AI
In many industries where the IA is used, rigorous benchmarking is standard practice, promoted innovation, accountability and progress.
Construction should not be an exception.
Companies that manage construction crew, jobs, vehicles and heavy equipment need access to clear rules for AI -fed security systems. To achieve it, sellers must drive for example, not hide. This involves eliminating anti-cenchmarking language from contracts, allowing for independent third party tests and publishing performance results and methodologies.
In motivation, we have already implemented these measures because transparency is not only ethical: it is the responsible way to develop and deploy AI tools designed to prevent accidents and protect lives.
Account surrender is not negotiable
In order for workers’ safety to fulfill their promise: to save lives, prevent incidents and build safer roads and jobs, transparency must be guaranteed. Sellers must prove their capabilities, not just claiming. Independent marking is not a load. It is an imperative business.
In construction, safety without evidence is not security, it is the risk disguised.
And every day without validation is another day that construction equipment is vulnerable.
