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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.

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

Artificial intelligence (AI) has emerged as a transformative force, promising both incredible opportunities From Reactive to Predictive: Navigating the Data Deluge AI's ability to analyze vast data-sets could AI should be seen as a tool to support, not replace, human expertise. 5. AI in PSM presents a fascinating double-edged sword. What are your thoughts on the role of AI in Process Safety Management (PSM)?

Companies are increasingly looking to mine (or perhaps exploit) their customer data to feed expanding AI services for their customers, companies are viewing customers as a means to an end – fuel for their AI Every software company with AI aspirations will face this dilemma. It seems anything goes in the race to acquire enough access to data to build a compelling AI experience Let's take a look at some recent examples: Zoom : Their entanglement in an AI privacy controversy raises

It's true that AI is capable of remarkable feats, such as analyzing vast amounts of data and making predictions In exchange for giving AI access to all of our data (and that of everyone else), we're told that it will If we rely solely on AI to tell us what to do and what to believe, do we risk losing the ability to make It's essential that we draw a line between what we're willing to entrust to AI and what we're not. So let's not be too hasty in our eagerness to hand over the reins to AI.

This reality—that AI inherently lacks the capacity to care about its impacts—places a real and immediate As AI technologies transform modern businesses the obligation of “duty of care" has surfaced as a critical This duty represents the specific obligations that fall to organizations that integrate AI into their Organizations deploying AI face a critical choice today: Will you embrace your duty of care, or risk Take these essential steps now: ⚡️ Identify and evaluate AI obligations and commitments (regulatory,