Robyn Asher on the advances in wearables and AI, yet uneven access, privacy risks, and regulatory gaps reveal why independent validation still matters
This article was produced in partnership with SafeContractor.
Safer by design? The promise and pitfalls of OHS technology
Advances in wearables and AI hold potential, yet uneven access, privacy risks, and regulatory gaps reveal why independent validation still matters
Fifty years ago, wearing a seat belt was optional. Today, it’s instinctive, so ingrained that most people under 50 wouldn’t consider starting a car without fastening one. That shift did not happen overnight; it required cultural change, regulatory pressure, and technologies designed to make safety effortless.
Workplace health and safety is undergoing a similar transformation. Tools once viewed as futuristic -- helmets with environmental sensors, vests that track core temperature, drones inspecting power lines, and virtual reality training for high-risk jobs -- are becoming part of the everyday conversation. Just as seat belts redefined road safety, these technologies are beginning to redefine how employers and workers understand risk, compliance, and responsibility.
For Robyn Asher, technical standards manager at SafeContractor, with nearly three decades in construction and manufacturing, the trajectory is familiar. “Every employer has different risks,” she says, “and those differences demand more than one-size-fits-all solutions.” Her work with SafeContractor centers on that gap: how to ensure new tools are not just impressive on paper, but effective, compliant, and adapted to the realities of each workplace.
A decade of acceleration
The last ten years have brought an unmistakable acceleration in safety technology. Smart helmets and sensor-equipped vests now provide real-time monitoring of exposure levels and worker health. Drones are deployed for inspections in remote or hazardous locations where once only people could go. Virtual reality training programs immerse workers in high-risk scenarios without putting them in danger. And exoskeletons are beginning to offset one of the most persistent risks in heavy industry: the musculoskeletal strain of lifting and repetitive movement.
These tools are reshaping frontline practices by reducing lag between hazard and response, broadening access to immersive training, and extending the physical longevity of workers in demanding roles. For Asher, wearables, drones, and VR training stand out as the most consequential developments, technologies with the capacity to shift safety from reactive to preventive.
Adoption pressures and uneven access
Employers are adopting these technologies for overlapping reasons: to improve safety outcomes, to comply with evolving standards, and to capture cost efficiencies that come with fewer injuries and claims. Yet adoption remains uneven.
Large organizations in high-risk industries are moving fastest, supported by resources and internal expertise. Smaller and mid-sized firms, however, face barriers that are not only financial but educational. “The challenge is the cost and the knowledge resources of implementing these changes,” Asher observes. Without guidance, these firms may delay adoption, deepening a divide between companies that can integrate advanced safety technology and those left behind.
That is where third-party validation platforms such as SafeContractor have begun to bridge the gap. By tailoring contractor pre-qualification to the specific risks of each industry and province, SafeContractor provides a pathway for firms that lack in-house resources to demonstrate compliance credibly. Instead of asking smaller firms to rewrite policies to satisfy an algorithm, the system uses experienced health and safety professionals to review documentation and highlight practical changes. For contractors, this reduces wasted effort and opens the door to more work; for employers, it provides assurance that safety standards are being met without unnecessary redundancy.
The regulation gap
The lag between technology and regulation has become a defining challenge. Personal protective equipment, such as hard hats or gloves, is manufactured to standards established by organizations like CSA or ANSI -- standards embedded in legislation. By contrast, AI-driven monitoring systems and wearable technologies exist in a fragmented environment with few universally applied standards.
This regulatory gap creates uncertainty for both employers and technology providers. For employers, it complicates due diligence: how can a tool be relied upon if it has not been validated against clear benchmarks? For developers, it raises questions about how to design products that will stand the test of compliance as rules evolve.
Asher expects regulation to emerge first around wearables, with mining, construction, and manufacturing likely to drive the pace of change. But the reactive nature of legislation means technology will always move faster than the rules that govern it.
The value of independent validation
Employers sometimes assume that the presence of new technology is itself a defense, that deploying wearables or AI monitoring is enough to demonstrate compliance. Asher cautions against this. “There’s a lot more involved in health and safety,” she explains, pointing to training, supervision, and change management as essential layers that cannot be replaced by devices.
There are also unintended consequences to consider. Workers may feel heightened anxiety under constant monitoring. Older employees may struggle with adapting to unfamiliar systems. And as AI learns and adapts, the potential for error raises new concerns: if an algorithm misinterprets data, the consequences could be immediate and serious. Privacy remains a flashpoint as well. Data on vital signs and worker behaviour raises unresolved questions about ownership, storage, and use.
Unlike algorithm-driven assessments, SafeContractor relies on experienced health and safety professionals to review documentation, close compliance gaps, and provide practical guidance.
Looking ahead, Asher sees both promise and peril. The rapid expansion of AI and wearable technology has the potential to make workplaces measurably safer, but only if adopted thoughtfully and supported by the right training, oversight, and standards. “It has to be done right,” she stresses. Otherwise, the very tools designed to protect could introduce new risks.
The lesson is not unlike the one that turned seat belts from optional to automatic: technology alone is never enough. Cultural acceptance, regulatory clarity, and practical implementation all have to align before safety innovation achieves its purpose. For employers, the challenge will be to navigate that alignment without losing sight of the fundamentals.