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The sequence matters: proper engineering design must occur before deployment, not afterwards. by Raimund We currently lack enough licensed professional engineers with AI expertise to provide the engineering Professional engineering licensing ensures accountability for proper design practice. Engineering design can’t be an afterthought. Deploying systems first and then engineering them is a risk we simply can’t afford.

One of the areas being overlooked is the role of Professional Engineers. Professional engineers bring a wealth of benefits to the table. Provincial regulators must act now to elevate engineering's role in the AI landscape. Professional engineering associations should develop and deliver training programs that equip engineers Provincial engineering regulators, in collaboration with professional engineering associations and stakeholders

Process and pipeline safety programs that manage change will include steps where engineering is required To various degrees, these activities will include: engineering design, oversight, and technical support to waste in engineering projects including design changes during management of change (MOC) processes Programs" calls out seven (7) sources of waste found in engineering processes: Each of these can What impact would reducing or eliminating them have in achieving your engineering outcomes?

AI Risk Containment Architecture Industrial leaders in safety-critical, highly regulated sectors like energy, chemical processing, oil&gas, and nuclear face an important challenge: how to harness the transformative power of A I—such as predictive maintenance, process optimization, and deep analytics—without compromising the safety systems, regulatory compliance, and operational integrity that protect people and infrastructure. Direct integration of AI into operational or enterprise systems introduces unacceptable risks, as even minor algorithmic errors can lead to regulatory violations, safety incidents, or catastrophic disruptions. To address this, industries can draw from proven frameworks like ICH Q8 in pharmaceuticals and ISO PAS 8800 in automotive safety, which emphasize containment and isolation of experimental technologies. This paper proposes a similar architecture for AI: one that separates Artificial Intelligence Technology (AIT) into bounded domains with controlled interfaces to Operational Technology (OT) and Information Technology (IT), enabling innovation while preserving compliance and operational excellence. Download our free white paper here:

increasingly deployed without the systematic design approaches that have proven effective in other engineering This represents a significant challenge for the engineering profession as AI systems take on increasingly Lessons from Engineering Disciplines Other engineering fields offer instructive examples of how systematic Process Engineering Excellence Chemical engineers approach new processes through systematic analysis. Only then does detailed engineering and construction begin.

Engineers and more broadly the engineering profession have for years applied scientific knowledge for However, what would a computer engineer do with a professional engineer's stamp? We need to find an equivalent of the engineer's stamp for all of engineering. The stamp represents that the engineer takes responsibility for the engineering work and will be held So yes, there is still a role for professional engineers and we need more of them in every field of engineering

of the engineering method in compliance. By highlighting the potential of the engineering method and its benefits, we hope to encourage more engineers The Scientific and Engineering method The scientific method and the engineering method are two distinct What is the Engineering Method? Why the Engineering Method is Important to Compliance Here are some of the benefits of the engineering

This is where engineering truly comes into its own. The specialized engineering practices become standardized procedures. As AI moves beyond pure research, distinct engineering domains are starting to crystallize. spectrum of digital engineering disciplines. group on AI in Engineering, where he helps shape the future of professional engineering practice in

What looks like "assembling" pre-built AI components actually requires substantial custom engineering Invest in AI Engineering : Develop systematic design capabilities specifically for adaptive systems, Skipping the engineering stage to accelerate AI adoption is not only unwise, it's a failure to exercise spectrum of digital engineering disciplines. group on AI in Engineering, where he helps shape the future of professional engineering practice in

By Raimund Laqua, Lean Compliance Engineer Mistakes aren't failures—they’re lessons. Because when compliance engineers make mistakes, people die. The connection is engineered to work every time. Now apply this to compliance. Engineering Reliable Delivery Build obligation fulfillment into the process.   Engineer commitment keeping.  Your car won't start without a seatbelt.

The following diagram is a slightly modified version of her model outlining engineering activities across At this level of analysis we are talking about AI Systems (i.e. engineered systems) not about systems A key takeaway is that AI engineering must incorporate and ensure responsible and safe design & practice This is where professional AI engineers are most helpful and needed.

It’s time for Engineers bound not by rings of power, but by a higher calling to rise up and take their It’s time for Professional AI Engineers, more than technology experts, but engineers who are also courageous Engineers who are willing to fight the AI Dragon of Uncertainty.