from many organizations are the skills to make ethical decisions which have more to do with values and meaning You will learn how to make ethical choices supporting responsible and safe AI along with your other compliance Message me to let me know if you would like to participate ( ray.laqua@leancompliance.ca )

Hindsight: Learning from the Past Hindsight in risk and compliance involves thoroughly examining historical This retrospective analysis is where machine learning (ML) truly shines. This is where the collaboration between human expertise and machine learning is most evident. While machine learning can contribute through predictive analytics, using historical and current data Hindsight allows us to learn from past experiences, turning historical data into valuable lessons.

Unlike static technologies, AI systems continuously learn and evolve, rendering traditional regulatory What this means in practice is that to regulate artificial intelligence, compliance must also be intelligent This means effective AI safety cannot be reduced to a simple label based on an assessment that happened Learning from other Domains Software as a Medical Device (SaMD) The Software as a Medical Device (SaMD However, this approach directly conflicts with AI's core value proposition – its ability to learn, adapt

Your governance needs to learn and adapt, or it becomes irrelevant quickly. We build learning systems around the opacity rather than trying to eliminate it. working through these ideas in more detail—how cybernetic principles apply to AI governance, what this means

This has much to do about learning and improving our defences to make them more robust. airline industry has a strong safety record partly because after every incident they took a deep dive and learned They did not waste any knowledge that could be learned from disasters. We need to prevent non-conformance, recover from them should they occur, and get stronger when we learn

Operational Rings of Power These are held together by the fellowship of: 🔸 Feed Forward Processes - leading

together, improve the probability of success by governing, regulating, and ensuring the ends and the means If you're interested in learning more about transforming reactive GRC functions into proactive GRE capabilities

We learn through observation and adaptation rather than pre-planning. 4. plan for every contingency, successful AI engineering embraces iterative development with continuous learning Because these systems continuously learn, adapt, and evolve, yesterday's test results may not predict In practical terms, this means developing systems where: We can reasonably predict the boundaries of aspects of system performance We can make evidence-based improvements based on real-world operation Learning

This approach is also not without its problems as it can sometimes lead to "blaming" the system and loss Root Cause Analysis Dean Gano, the creator of the Apollo Root Cause Analysis method [2][3], goes back This leads to the conclusion that a cause and an effect are the same thing.

, it is just an improvement in productivity, and they question whether the use of AI assistants may lead No wonder there is a fear that the widespread use of AI assistants may lead to significant job reductions

One of the powers of technology is its ability to externalize the means to achieve our ends. It is externalizing the means by which we learn to the point that we don’t need to learn ourselves. What if meaning is found not by having the goal of our desire but instead by our participation in the means to make it happen.

In this post, we explore what it means for the internet to be considered as a hazard and how this might The internet for all intents and purpose is a hazardous environment where prolonged exposure will lead This means establishing and managing barriers of defence, safeguards, and other measures that prevent Unfortunately, the risk cannot be eliminated by removing the hazard so we must learn to operate in the So it's time to learn how to use BOW-TIES, HAZOPS, BARRIER ANALYSIS, STAMP / STA, FRAM, and other tools