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.

exploring the risks of uncontrolled AI and the need for responsible use. The risks of unchecked AI are vast. A Solution The AI Dilemma raises important questions that we must address. The AI Dilemma is a call to action, urging us to reevaluate our approach to AI and to prioritize the development and deployment of responsible AI.

Artificial intelligence (AI) is increasingly becoming an integral part of critical infrastructure such about AI safety in critical infrastructure domains. of near misses or incidents related to AI systems. and the sharing of concerns related to AI systems. of AI systems becomes paramount.

Unlike the singular focus of traditional AI, human cognition encompasses a kaleidoscope of distinct but As we explore the future of AI, understanding these differences is crucial. and study is needed in the field of cognitive science and that claims regarding "Smarter Than Human AI