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AI Systems: Learning Machines with Unpredictable Behaviour AI systems—especially those based on machine learning (ML)—work differently. Emergent Logic : The rules are not written by developers, but learned from data, which can make them Bias and Fairness Since AI learns from historical data, it can inherit and amplify existing biases. This article was written by Raimund Laqua, Founder of Lean Compliance and Co-founder of ProfessionalEngineers.AI

Take ownership of all obligations (mandatory and voluntary) Taking ownership means more than simply Ownership means being responsible and answering for the outcomes of compliance obligations (i.e. the This is far too late to be used as a means of governing compliance programs. LEAN has taught us that improvements made this way can add up to substantial savings as well as increased LEAN, process maturity, risk-based thinking, etc.)

here's the thing: these pioneers cannot simply theorize; they must also engineer the very methods and means This means accepting that we are still in the early stages of a much longer journey. computer engineer with over 30 years of expertise in high-risk and regulated industries, specializing in lean He is the founder of Lean Compliance and co-founder of ProfessionalEngineers.AI , organizations dedicated

They're tracking leading indicators—subtle changes that whisper of trouble long before it screams. This means fundamentally changing what you track. You measure leading indicators: Employee engagement scores before they become turnover rates Customer rates (lagging), organizations can track near-miss reporting frequency and planned change frequency (leading What leading indicators is your organization ignoring while it counts yesterday's damage?

Instead of quality as job one or safety first programs, organizations now need to lead their risk & compliance Lean Compliance has helped organizations establish an Environment-First program and can help you do the Subscribe to our newsletter so you don’t miss our future articles as we unpack what it means for an organization

The Learning Foundation: Machine Learning Systems Imagine an AI that can learn from past experiences, Machine Learning Systems are our first step into computational intelligence. optimal routes – that's machine learning in action. Where machine learning sees patterns, AI systems see stories, connections, and deeper meanings. They're not just learning or acting; they're actively reshaping their world.

This confusion leads to either excessive finger-pointing when things go wrong or, worse, critical responsibilities Let's chat – that's what we're here for at Lean Compliance!

Variations of this process exist and include: DMAIC, A3, Lean Improvement Kata, and others.

Failure to focus on outcomes will eventually lead to mission failure. Engineering (goal-seeking, purposeful, full stack systems) Computer Engineering (algorithms, machine learning Lean Engineering (performance improvement, interventions, lean enablers, etc.) Compliance Engineers would also lead by example by upholding the values that compliance is striving

What could this all mean? Less books are being written on the various topics. This will include one or more of the following: Apply LEAN principles and practices to reduce waste.

who answered this question by saying that technology can, when introduced too soon, short circuit the learning People can lean too much on the technology without fully understanding what the process and tools are

This operational excellence domain encompasses methodologies such as Lean, Six Sigma, TQM, and digital Integrated Balanced Scorecard Protecting value creation fundamentally means contending with two types