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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.

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 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 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

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.

AI Safety Labels There is an idea floating around the internet and within some regulatory bodies that we should apply safety labels to AI systems, akin to pharmaceutical prescriptions. While well intended this is misguided for a variety of reasons, namely AI’s adaptive nature.   In contrast, AI systems represent a new paradigm of adaptive intelligence. An AI Regulatory Framework: Intelligent Compliance Laws of AI Regulation for Compliance Cybernetics pioneer