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.

ISO 42001 has quickly become a standard organizations reach for when they want to take AI seriously. , or does it develop AI? Developing AI is a different kind of work. Under the EU AI Act, AI placed in high-risk settings — including as a safety component in regulated operations Manage the AI you use. Engineer the AI you build. One is internal management.

Digital Twin Safety Alongside benefits of Digital Twins, the integration of Artificial Intelligence (AI AI algorithms enhance the analysis of data within digital twins, but they also introduce the risk of Moreover, AI-driven decisions may be opaque, making it challenging to understand their rationale and Additionally, complex AI models may lack interpretability, hindering decision-makers' ability to trust AI algorithms drive autonomous actions within digital twins, enhancing efficiency and responsiveness.

AI has already absorbed virtually all the unstructured data available in the world. Now we need to build AI for the business — harnessing operational data, engaging the system of record Real-time, adaptive, and capable of regulating AI at the speed AI operates. ⚡ Is your compliance ready

AI arriving in the value chain, in the products organisations make, in their suppliers' processes, and On September 14 we take the next step: what compliance needs to do to prepare for AI, and what that means That work anticipated exactly what AI now demands. Real-time regulation. Promises kept by systems. That is what creates the opportunity now — to apply them to a world with AI. Open to everyone, so bring a colleague if they are interested in how to prepare compliance for AI.

I just attended a webinar from a leading GRC vendor promoting continuous risk assessment for AI. What I heard : AI introduces significant risk across organizations and within every functional silo. The bottom line : This was traditional (and basic) risk management applied to AI—and done poorly.  The promise of continuous risk assessment tied to AI was not delivered. ⚡  What AI Risk Actually Requires If this represents the best that GRC can offer for AI, we're in deep trouble.

AI is now collapsing those layers. agents, AI systems, and AI-powered applications actually operating between the lines? Bespoke, AI-generated solutions invert that model. That build operational visibility into their AI systems. He serves on ISO’s ESG working group, OSPE’s AI in Engineering committee, and chairs the AI Committee

Most conversations about AI and compliance go one of two ways. And AI is entering the compliance function itself. AI is what pushes them past what they can carry. What AI actually asks of you AI does not just add obligations to your list. This is the culture that can respond to AI. The bounded-set culture cannot.

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,

Why do we think that paper AI policies will be enough to handle AI risk? With AI’s ability to learn and adapt, we need measures that are also able to learn and adapt. That’s why a static, paper-based policy will never be enough to govern (i.e. regulate) the use of AI. Governance – the means of regulation – must be as capable as AI.