SEARCH

But what does this mean for our own learning, understanding, and critical thinking?

clear picture of what failure looks like, work backward to identify the factors or decisions that could lead This could mean revising internal policies, improving risk programs, conducting more control effectiveness However, the reverse is almost always true: compliance failure leads to mission failure. In compliance, this means that knowing where your business is vulnerable and proactively avoiding those

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

As a result, the discussion has emerged as to whether the use of ChatGPT should lead to the loss of an Inadequate verification or the unintentional introduction of false information by the AI tool could lead

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

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.

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

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

acknowledge: AI systems don't directly observe or experience the world – they only see it through the lens AI lies not in its ability to replicate human understanding, but in its potential to complement it, leaving

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