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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

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.

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

(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!

I chair the AI Committee at E4P (Engineers for the Profession) advocating for the recognition and right to practice for emerging engineering disciplines. As a profession we need to do more to elevate the role engineering across the multiple disciplines that are needed today such as AI engineering, Cybersecurity, Quantum and many others. As a professional engineer I recognize that I have a duty to uphold the public welfare as paramount and

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

As a Compliance Engineer, I'm focused on developing robust methodologies for emerging compliance challenges Requirements Isolation Strategy: A Systems Engineering Approach The webinar presented what I'll call systematically addresses uncertainty through: Methodical reduction of controllable risks, and Establishing engineering

Up until now, we have engineered machines to be deterministic, which means they are stable across time Artificial Intelligence - A Stochastic Wrench Yet, here we are, with a stochastic machine, a probabilistic engine

That's what AI assurance is for — engineered, operational guardrails that keep AI between the lines and

Professional engineers, for example, already adhere to strict ethical codes.

. - The Lean Compliance Engineer Uncertainty Creates the Opportunity for Risk I've sat through countless Quality engineers use FMEA to map uncertainties in manufacturing processes that create defect opportunities

As the European Defence Agency shows us, it's now a continuous journey involving rigorous engineering difference between Development and Runtime Assurance. ⚡️ Development Assurance: “Traditionally in system engineering