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This incident has highlighted the limitations and risks associated with relying solely on AI-generated While ChatGPT and other similar AI tools provide utility across various industries, including the legal This incident not only raised questions about the accuracy of AI-generated content but also emphasized The use of AI tools should never substitute proper legal research and verification. legislation to regulate the use of AI where public safety may be at risk.

Understanding how systems behave—whether traditional software or advanced AI—has become essential not For AI systems, monitoring extends to model performance metrics, prediction latency, and data drift detection In AI contexts, observability encompasses the full model lifecycle—from data ingestion through training In AI systems—where complex models often operate as black boxes—explainability techniques like SHAP, Imperative As regulatory pressures intensify across industries—from GDPR's right to explanation to emerging AI

This is never more important now when it comes the use of Artificial Intelligence (AI). If organizations want to steer aware from harms associated from the use of AI in their value chain, they must explicitly state their objectives for the responsible use of AI.

processing (removal of waste), data lakes, machine learning, and other forms of artificial intelligence (AI We don’t think we our heads, we think with AI. And for that we need algorithms and AI where the rules are transparent and explainable for people to Don’t only think with your AI, think with your head.

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.

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