Today we are building intelligence technology with AI. AI accelerates them.

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

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

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

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.

Diagnostic: a fixed-scope assessment of one program — in safety, security, quality, environmental, or AI

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

Ray serves on ISO's ESG working group, OSPE's AI in Engineering committee, and as AI Chair for Engineers

This logic applies across every compliance domain — quality, safety, security, sustainability, ethics, AI What is   AI safety ? about doing the hard work of establishing what quality, safety, security, sustainability, ethics, and AI

I continue to see the same pattern today, particularly when it comes to implementing AI governance. these levels, whether it is deploying an ISO standard, responding to an audit finding, or introducing AI

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