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The rise of AI has both amplified this challenge and brought it into sharp focus. As organizations face new obligations for transparency and explainability in their AI systems, they're deploying large language models for simple text tasks that simpler algorithms could handle, running complex AI The massive compute requirements of modern AI often exemplify this waste. 4. automated reports no one reads, robotic processes that move data unnecessarily between systems, or AI

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.

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?  

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

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

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

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.

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

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

significantly influences our lives in various ways, particularly with the widespread integration of AI

It's also AI-Ready with reinforcement learning loops to not only course correct but also teach you how

safety, security, sustainability, privacy, quality, environmental, social, regulatory, and responsible AI