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Insights for Compliance Success


Operational Compliance - Update
The following diagram is a vertical orientation of our Operational Compliance Model updated to better emphasize how bridging the gap...
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Business Intelligence: Are We Asking the Right Question?
During our Elevate Compliance huddle this week, we explored how to transform data into compliance intelligence. Everyone agrees...
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The Trinity of Trust: Monitoring, Observability, and Explainability in Modern Systems
In today's compliance landscape, organizations face mounting pressure to build reliable systems while meeting an expanding array of...
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AI Risk in High-Consequence Industries: 5 Critical Challenges
The rush to implement artificial intelligence across highly-regulated sectors presents an urgent safety challenge that many organizations...
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Why Engineering Matters to AI
As organizations rush to adopt artificial intelligence, one common mistake is treating AI systems like just another IT solution. After...
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Artificial Intelligence Doesn't Care, You Must!
Artificial intelligence feels no remorse when it discriminates, no concern when it violates privacy, and no accountability when its...
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The Cost of AI
Is the collateral damage from AI worth it, and who should decide? When it comes to AI, we appear to be “hell-bent“ towards developing...
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Engineering Through AI Uncertainty
As artificial intelligence continues to advance, AI engineers face a practical challenge – how to build trustworthy systems when working...
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The Emergence of AI Engineering
The Emergence of AI Engineering - Can You Hear the Music? In a compelling presentation to the ASQ chapter / KinLin Business school in...
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Fighting the AI Dragon of Uncertainty
There are those who think that AI is only software. After all, we can reduce AI to a basic Turing machine, digital ones and zeros. There...
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Paper Policies are Not Enough
Why do we think that paper AI policies will be enough to handle AI risk? With AI’s ability to learn and adapt, we need measures that are...
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The Need for AI Mythbusters
When I read about AI in the news, and this includes social media, I am troubled by the way it is often reported. Many articles are...
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The Stochastic Wrench: How AI Disrupts Our Deterministic World
When it comes to trouble, it is often a result of someone throwing a wrench into the works. This is certainly the case when it comes to...
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The Limits of Paper-Based Governance in Regulating AI in Business Systems
In a world increasingly defined by the rapid advancement and integration of artificial intelligence (AI) into business systems, the...
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Compliance: Beyond the Fish Tank
When I was young my family bought a fish tank. Family Fish Tank It was bigger than a fish bowl, but not by much. It was just large...
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When Words Are Not Enough: The Limitations of AI in Understanding Reality
When Words are Not Enough: The Limitations of AI In the race toward artificial general intelligence, we find ourselves at a curious...
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Will AI Replace Professionals?
Professional practice represents far more than technical expertise or procedural knowledge. It embodies a complex integration of...
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Compliance Must Be Intelligent
AI Safety Labels There is an idea floating around the internet and within some regulatory bodies that we should apply safety labels to AI...
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AI Risk: When Possibilities Become Exponential
Artificial Intelligence (AI) risk databases are growing, AI risk taxonomies and classifications are expanding, and AI risk registers are...
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The Evolution of AI Systems: From Learning to Self-Creation
In today's world of artificial intelligence, not all systems are created equal. As we push the boundaries of technological innovation,...
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Safety of the Intended Functionality: Re-imagining Safety in Intelligent Systems
When it comes to intelligent systems, safety has outgrown its traditional boundaries of risk assessment. While the traditional approach...
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AI Safety Approach (ISO PAS 8800)
As a Compliance Engineer, I'm focused on developing robust methodologies for emerging compliance challenges. A recent IEEE webinar that I...
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AI, AI, Oh!
When it comes to compliance, labelling everything as AI might be a bad idea. For example, engineering has traditionally relied on...
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Exploring Potential Assurance Models for AI Systems
As AI systems are increasingly embedded in critical functions across industries, ensuring their reliability, security, and performance is...
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