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- Safety Design Principles for AI Adoption in Organizations
From an engineering perspective, I propose three principles that organizations should consider when designing The engineering discipline here is straightforward but often overlooked: Map your existing safety controls This integrated view reflects how safety is actually achieved in mature engineering disciplines. Aircraft aren't safe just because engines are reliable. This is the work of engineering: not making perfect systems, but making systems that fail safely, that
- Fighting the AI Dragon of Uncertainty
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.
- Tyrannical Compliance
As an engineer, I have always had to comply with rules (i.e. requirements) of all kinds such as: laws Professional engineers in Canada (and other parts of the world) are also constrained by law to protect All of these are a form of constraint, and to an engineer these are seen as challenges and not problems The essence of engineering lies in designing solutions that work within given constraints while planning Compliance with regulations in many ways is no different than an engineer designing a system to meet
- The AI Dilemma: Exploring the Unintended Consequences of Uncontrolled Artificial Intelligence
responsible for the “responsible” use of AI, and when does the science experiment stop, and responsible engineering A step we can take is to reinsert the engineering method into the development of AI. This will require more engineers, along with other professionals, in the loop, advocating for and practising Instead of deploying science experiments to the public at scale we need to build responsible engineered
- Operational Effectiveness in Compliance
System controls — engineered into the work, instrumented, outcome-bearing. Engineered into how work is done. 🧡 C2 / C1 — Process and functional safety.
- Regulating the Unregulatable: Applying Cybernetic Principles to AI Governance
Unlike traditional engineered systems with predictable inputs and outputs, AI systems exhibit emergent Ray Laqua, P.Eng., PMP, is Chair of the AI Committee for Engineers for the Profession (E4P), Co-founder
- Sustainable Development and Environmental Stewardship - Part 1
created by Engineers Canada in 2016. in sustainable engineering efforts. Sustainable engineering defines an approach to engineering to meet the challenges of sustainable development In many ways, in Canada, we have not done as much engineering as we used to. outlines 10 guidelines for engineers: Engineers: Should maintain and continuously improve awareness
- Transforming Business Through AI: Key Insights
Companies need to build AI literacy across all departments, from engineering to legal, HR, and marketing Engineers need technical understanding, while legal teams require compliance and risk perspectives. Many professionals are moving into AI governance roles, but fewer are pursuing AI engineering due to This could create imbalances, with potentially too many governance specialists and too few engineers Bringing Teams Together One clear message from the conference: AI governance and engineering must work
- Compliance 2.0 System Requirements
Raimund Laqua (Ray) is a Professional Engineer (P.Eng.) and Project Management Professional (PMP) with Ray serves on ISO's ESG working group, OSPE's AI in Engineering committee, and as AI Chair for Engineers for the Profession (E4P), where he advocates for federal licensing of digital engineering disciplines
- Hold Paramount the Safety, Health, and Welfare of the Public: Pass or Fail?
Engineers are responsible for ensuring that their designs are safe, reliable, and effective. This is consistent with the engineering method. In my first year of engineering design we were taught that engineering is never neutral. Social impacts are necessary design considerations for all who practise engineering. Scientists and engineers should not hide behind a technical shield.
- Isn't Lean Compliance the same as Lean Six Sigma?
(Founder and Chief Compliance Engineer at Lean Compliance Consulting, Inc.). principles come from existing areas of practice, including Lean Management, Lean Startup, Lean TPS, Engineering That’s why we have engineers!
- Operationalizing AI Governance: A Lean Compliance Approach
governance policy means creating an operational, regulation framework that links legal , ethical , engineering system behavior visible Compliance streams : Flows of promises from legal/ethical commitments through engineering Roles & Accountability Assign decision rights: executive sponsor, AI/Model Compliance lead, Engineering












