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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

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

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

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

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

(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!

Golden Thread of Assurance (Real-time digital thread) - Creates strategic connectivity between compliance

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.

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

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

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

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