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AI compliance demands a fundamentally new mindset. Neither alone is sufficient to ensure AI delivers real benefits in a safe and responsible manner. When it comes to AI, the stakes are exceptionally high, with both significant risks and opportunities This environment demands real-time AI governance, supported by programs, systems, and processes that Applying Lean Startup to AI Compliance in Practice The Lean Startup approach for AI compliance focuses

three decades of experience in highly regulated industries, I firmly believe we can and should embrace AI troubling pattern: organizations are bypassing the engineering design phase and directly jumping from AI This “Deploy First, Engineer Later” approach or as some call, "Fail First, Fail Fast": treats AI systems When we want these qualities in AI systems and the internal controls that use them, we must engineer However, AI is being integrated into these systems without this essential engineering work.

AI Assurance isn't just about checking boxes before deployment. With today's AI systems, we simply can't predict everything in advance—we need to stay vigilant while In the paper published by the European Defence Agency (EDA), entitled “Trustworthiness for AI in Defence in Defence - Figure 14 The introduction of AI technologies and autonomy capabilities has tipped the adequate confidence and evidence that the AI system satisfies the intended function (System Assurance

Each organization will and should determine how they will govern the use of AI and the risks associated There is going to be a cost and side effects from using AI that we need to account for. Data used in AI will also need to be protected. How are you governing your use of AI. What standards are you using? Are you handling the risk from using AI?

Artificial intelligence (AI) has become increasingly prevalent in our lives, and as we interact more However, there are several reasons why we should avoid anthropomorphizing AI systems. First and foremost, AI is not human. Secondly, anthropomorphizing AI systems can be misleading and even dangerous. How to Stop Humanizing AI Systems To prevent or stop anthropomorphizing AI systems, here are some steps

This year will mark the end of unregulated use of AI for many organizations. AI safety regulations and responsible use guidelines are forthcoming. This will require building Responsible AI and/or AI Safety Programs to deliver on obligations and contend with AI specific risk.  To stay ahead of AI risk you can no longer wait.

Rapid advancements in AI technology present a double-edged sword: exciting opportunities alongside significant Proposed strategies often emphasize establishing entirely new AI governance frameworks. Provincial regulators must act now to elevate engineering's role in the AI landscape. responsible development and deployment of AI technologies. development and secure its position as a leader in the global AI landscape.

The Shift AI assistants are already embedded in the platforms organizations use — Microsoft's Copilot If you're deploying AI agents in a regulated environment, the question I'd encourage you to ask is not "what can the AI do?" but "will the AI do it in a way that keeps our promises and upholds our values?" , serves on OSPE's AI in Engineering committee, and advocates for federal Digital Engineering licensing

precisely when AI applications have become more consequential. The Unique Nature of AI Systems AI systems present design challenges that both parallel and extend beyond AI systems also evolve continuously. Toward Intelligent Design for AI Developing design practices for AI systems requires adapting proven AI represents the latest such challenge—and perhaps the most important.

Intelligence - A Stochastic Wrench Yet, here we are, with a stochastic machine, a probabilistic engine we call AI Technically and practically, AI is not reliable, it’s not deterministic.  This is not a question of whether AI is accurate or if the answer is correct.  However, what is crucial to understand is, AI is not the kind of machine we are used to having in our This is why we need to rethink how we govern, manage, and use AI technology. 

In a world increasingly defined by the rapid advancement and integration of artificial intelligence (AI But AI is neither static nor entirely human-controlled. Unfortunately, this assumption does not hold true for AI technologies. Consider an AI system used for dynamic pricing in e-commerce. The Need for Operational Governance To effectively regulate AI, the regulatory mechanisms themselves

The use of Artificial Intelligence (AI) to drive autonomous automobiles otherwise known as "self-driving Can we even talk about AI deciding for itself or having its own moral framework? Brain, Standford University, UC Berkley and OpenAI, published a paper entitled, " Concrete Problems in AI These problems, while instructive and helpful to explore AI safety, also offer a glimpse of similar issues Solving AI safety may also improve overall workplace safety.