PEO Bringing Engineering Practice to AI Systems

Engineers build things that work. We are trained to specify requirements, design against them, analyze risk, test, and verify the result before we put our name to it. That accountability is formal: when an engineer seals a design, they take professional responsibility for it. This practice does not stop at the physical world. A digital engineer brings the same discipline, judgment, and accountability to the digital domain.

Today, AI is reaching the public as experiments at scale. Canada needs engineers to build the bridge between AI research and adoption. This talk is about what engineering practice looks like for the digital engineer: how we apply engineering methodology, risk analysis, and verification to the development of AI systems, and what it means to stand behind them as professional engineers.

Session Speaker: Raimund Laqua, P.Eng., PMP

Raimund Laqua, P.Eng., PMP, is the founder and principal…