Review, let's call it, Management Preview adds another perspective by looking at what's ahead and using leading

Professional engineering in Canada is uniquely positioned to lead the charge in responsible AI development With legislative authority, self-governance, and a robust code of ethics, engineers already have the means

At a fundamental level this means: Identifying and taking ownership for obligations Making and keeping require turning “should” statements into promises with the added step of first figuring out what “should” means and responsible disclosure around data enhanced technology like AI, automated decisions and machine learning Why it matters Algorithmic and machine learning systems evolve through their lifecycle and as such it Why it matters Algorithmic systems and machine learning applications will differ by sector.

This week we launched our “Learn with Me” program were we take a course together. We learned using the IPAT equation that technologies will have to improve their efficiencies and emit

This expertise allows for proper identification of uncertainties that could lead to near or long-term In practice, the reactive nature of audits means they can be too slow and too late to prevent issues

As management incorporates double and triple-loop learning as part of a system they are able to optimize

This abdication means obligations go unowned. The problem isn't their technique—it's that they haven't learned to stay afloat. This means: Managers understanding their obligations as personal commitments, not corporate procedures

to deliver exceptional goods and services for their customers, companies are viewing customers as a means to an end – fuel for their AI engines, shiny generative models and machine learning. When customers become a means to an end, you will get that end but not any customers. – The cybernetics

Transparency in AI algorithms, data privacy protection, and addressing bias in machine learning models

#LeanCompliance #Compliance

Checklists "ZERO" goals Can't measure what didn't happen Quantitative metrics / reductive / reactive Leading heading towards viewing safety more holistically as a system that can be improved over time through learning You will hear from leading experts in the field of BBS (Dr. E. Scott Geller) and HOP (Dr.

Investigations into the explosion are on-going and lessons learned will no doubt be used to improve