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- Requisite Authority, Not Decision Authority
Decades of governance literature — COBIT, RACI, corporate governance theory, and more recently the AI What This Means for AI When an AI agent operates autonomously, it exercises decision authority without The governance design question for AI isn't "where should decision authority live."
- Lean Compliance: A Founder's Reflection
feel compliance is approaching a turning point, where we’ve always been heading but now faster due to AI the object under regulation: safety, security, sustainability, quality, legal, and now responsible AI This challenge becomes particularly evident when considering emerging obligations from AI regulations Compliance will require demonstrating actual performance and outcomes—how AI systems behave in practice And will this now be shortened due to AI?
- Business Intelligence: Are We Asking the Right Question?
Organizations relying on AI as their main intelligence source should recognize this constraint. While "keeping humans in the loop" with AI is commonly advocated, even this approach falls short.
- Compliance is Probabilistic
Today, as AI reshapes our field, there's a new reality we must confront: compliance is probabilistic. In this article I challenge conventional compliance wisdom by asking: What will you do when AI predicts So what will you do when AI predicts that the confidence level (assurance) in meeting your obligations
- What Stops Compliance From Improving
The reason that matters more now is AI. It does not change what compliance is.
- How to Make Things More Certain
turns out, how we conceptualize the future influences how we think about risk, compliance and even AI AI systems of this kind are also self-referencing. AI is not an impartial observer in the classical sense. AI is an observer-participant which gives it a measure of agency, something that may or may not be desirable
- A Little About Myself
also write and publish weekly blog articles, and speak on the topics of risk, compliance, ethics, AI I chair the AI Committee at E4P (Engineers for the Profession) advocating for the recognition and right more to elevate the role engineering across the multiple disciplines that are needed today such as AI
- Top Challenges Facing Compliance Officers
program and across the entire portfolio (safety, security, sustainability, quality, corporate, ethics, AI Leveraging Technology and AI: Staying ahead of risk requires compliance officers to strategically leverage AI, technology, and management systems & controls. While compliance challenges such as AI, cybersecurity, and ESG rightfully demand attention, it's equally
- What Will People Be Doing 20 Years from Now?
It is common nowadays to come across articles that claim that robots and AI will take over people's jobs this is already happening and will continue to increase with advancements in artificial intelligence (AI However, the most relevant, specifically when it concerns the accelerated advancement of robotics and AI We will always find ways to make work more efficient, robotics and AI are just recent examples. Robots and AI may improve efficiency and this will no doubt displace workers.
- Introducing the Record of Assurance
Diagnostic: a fixed-scope assessment of one program — in safety, security, quality, environmental, or AI
- Training Users To Be Unethical
we might agree to knowingly or unknowingly for the promise of a shiny new application, platform or AI Many have already naively given up confidential corporate and private data to AI chat-bots putting themselves
- Is your compliance software hindering your effectiveness?
significantly influences our lives in various ways, particularly with the widespread integration of AI












