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first coined by mathematician Norbert Wiener in the 1940s, deriving from the Greek word "kybernetes" meaning Adaptability and Learning: Cybernetics recognizes the importance of adaptability and learning in systems Learning mechanisms, such as machine learning algorithms, enable systems to acquire knowledge, improve By continuously learning from feedback and adjusting compliance processes accordingly, organizations Continuous Improvement and Learning: Cybernetics enables continuous improvement and learning in compliance

With AI’s ability to learn and adapt, we need measures that are also able to learn and adapt. Governance – the means of regulation – must be as capable as AI.

When integrity, personal or otherwise, is lost or diminished we start on a path that leads to all kinds your plans to meet them are able to perform to achieve your targeted outcomes please contact us to learn

In fact, using the equipment may make things worse leading to a possible injury; physically and most Let us help you learn to always stay between the lines and ahead of risk.

AI and its cousin machine learning are already being used by many organizations most likely even their If bad actors can corrupt your learning data sets then you will end up with corrupted insights informing The European union is presently drafting guidelines for the protection of data sets used in machine learning

Because AI itself doesn't care, the responsibility falls squarely on those that lead their organizations Contact us today (pmo@leancompliance.ca) to schedule an AI Duty of Care Assessment and take the first

One of Taylor's aims was to achieve maximum job fragmentation to minimize skill requirements and job learning Taylor also introduced us to time and motion studies that would eventually lead to the assembly line This bottom-up approach often leads to companies playing “whack a mole” hitting the gopher on the head Enterprise Risk Management As a means to contend with the limits of a bottom up approach to risk many Instead of looking only at the parts it only looks at the top (or the boundaries) which tends to lead

Learning from Successful Organizations Organizations that successfully develop strong cultures don't It often leads to: Paralysis: Teams waiting for the "right culture" before making necessary changes Superficial

Recent advancements in machine learning will take this to even higher levels and discover patterns that from the "Naturalistic Fallacy" which argues that just because something is found in nature doesn't mean The argument follows that If you have a goal A, then you should do B, which has been observed to lead Also, if you have not yet observed a path that leads to your goal you never know what you "could" let Take caution with how you use your data Big data, machine learning, and artificial intelligence will

examples from different risk domains when discussing each risk concept which is helpful but may also lead Fundamentals of Risk Management - 5th edition" by Paul Hopkin is a great reference for those who want to learn

This mindset can lead to hasty decisions and a lack of consideration for the long-term consequences of This mindset can lead to risky behaviour and a lack of accountability. It means being willing to invest time, resources, and effort today for more substantial, enduring, and With respect to compliance this means taking ownership of obligations and keeping promises associated However, I think it means more than this. We must learn to think beyond ourselves.

You need to learn all that’s essential for you to drive, and that means learning how things work together And this can only be learned by practising them at the same time. You will look forward with anticipation to the benefits you will experience because you have learned Why are we not expecting and using the entire program, and learn how to drive it so that it delivers But we first need to learn how to drive.